{
  "total": 230,
  "topics": [
    {
      "id": 207741,
      "title": "Welcome from the host",
      "comment_count": 44,
      "views": 0,
      "votes": 63
    },
    {
      "id": 207656,
      "title": "New to Machine Learning or Kaggle?",
      "comment_count": 7,
      "views": 0,
      "votes": 26
    },
    {
      "id": 229849,
      "title": "Call for Vietnamese Participants!",
      "comment_count": 0,
      "views": 0,
      "votes": 11
    },
    {
      "id": 207653,
      "title": "Looking for a Team Thread",
      "comment_count": 184,
      "views": 0,
      "votes": 28
    },
    {
      "id": 548970,
      "title": "Is the sample submission file, the solution to the testing set",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 539436,
      "title": "Converting from dicom to png",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 229769,
      "title": "3rd Place Solution Summary",
      "comment_count": 5,
      "views": 0,
      "votes": 27
    },
    {
      "id": 229642,
      "title": "Data Labeling Issues - Structured Bias",
      "comment_count": 2,
      "views": 0,
      "votes": 27
    },
    {
      "id": 226669,
      "title": "The ap on test data is inconsistent with that on validation subset",
      "comment_count": 2,
      "views": 0,
      "votes": 5
    },
    {
      "id": 207679,
      "title": "YOLO Models",
      "comment_count": 16,
      "views": 0,
      "votes": 12
    },
    {
      "id": 208044,
      "title": "🎊 🎉CheXpert - Leaderboard Solutions and Code 🎇 🎆",
      "comment_count": 1,
      "views": 0,
      "votes": 25
    },
    {
      "id": 208745,
      "title": "[Idea] Transfer learning from Chexpert?",
      "comment_count": 2,
      "views": 0,
      "votes": 6
    },
    {
      "id": 229786,
      "title": "[4th place solution] YOLOv5x",
      "comment_count": 12,
      "views": 0,
      "votes": 34
    },
    {
      "id": 229724,
      "title": "1st Place: My part to public 0.324/ private 0.314",
      "comment_count": 55,
      "views": 0,
      "votes": 198
    },
    {
      "id": 231005,
      "title": "My first competition medal (bronze)!",
      "comment_count": 63,
      "views": 0,
      "votes": 61
    },
    {
      "id": 319342,
      "title": "labels in https://arxiv.org/pdf/2012.15029.pdf vs the labels in this competition",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 310280,
      "title": "uploading the file",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 215793,
      "title": "Extra dataset research - ChestX-ray8 information",
      "comment_count": 1,
      "views": 0,
      "votes": 8
    },
    {
      "id": 210438,
      "title": "Bounding box normalization ValueError",
      "comment_count": 9,
      "views": 0,
      "votes": 5
    },
    {
      "id": 218535,
      "title": "Average Precision per Class ?",
      "comment_count": 7,
      "views": 0,
      "votes": 4
    },
    {
      "id": 263616,
      "title": "What actually are these values under \"Score\" in Leaderboard Tab?",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 208837,
      "title": "[LB0.155] baseline solution",
      "comment_count": 37,
      "views": 0,
      "votes": 91
    },
    {
      "id": 251250,
      "title": "Detailed analysis of the competition database - examination of consistency in annotation and data quality",
      "comment_count": 2,
      "views": 0,
      "votes": 14
    },
    {
      "id": 207955,
      "title": "Multiple preprocessed datasets: 256/512/1024px, PNG and JPG, modified and original ratio",
      "comment_count": 18,
      "views": 0,
      "votes": 139
    },
    {
      "id": 232393,
      "title": "1st Place Solution Kernels Released!",
      "comment_count": 5,
      "views": 0,
      "votes": 27
    },
    {
      "id": 208468,
      "title": "Merge annotations using WBF",
      "comment_count": 6,
      "views": 0,
      "votes": 45
    },
    {
      "id": 231511,
      "title": "1st Place Solution",
      "comment_count": 7,
      "views": 0,
      "votes": 62
    },
    {
      "id": 229637,
      "title": "7th Place - Metric is like AUC",
      "comment_count": 48,
      "views": 0,
      "votes": 107
    },
    {
      "id": 229711,
      "title": "5th Place Solution",
      "comment_count": 33,
      "views": 0,
      "votes": 50
    },
    {
      "id": 229770,
      "title": "6th place solution",
      "comment_count": 22,
      "views": 0,
      "votes": 52
    },
    {
      "id": 229615,
      "title": "[11th place solution] YOLOv5 + VFNet + EfficientD6",
      "comment_count": 20,
      "views": 0,
      "votes": 64
    },
    {
      "id": 212287,
      "title": "Explanation of scoring metric (mAP@0.4)",
      "comment_count": 25,
      "views": 0,
      "votes": 99
    },
    {
      "id": 229696,
      "title": "2nd place solution (quick overview)",
      "comment_count": 31,
      "views": 0,
      "votes": 93
    },
    {
      "id": 229614,
      "title": "Congratulations New Kaggle Competition Grandmasters!! Nvnn and Azat !!",
      "comment_count": 13,
      "views": 0,
      "votes": 34
    },
    {
      "id": 229740,
      "title": "2nd place solution (addition about MMDetection)",
      "comment_count": 8,
      "views": 0,
      "votes": 41
    },
    {
      "id": 230896,
      "title": "Surprise!! 11% to 9% got the bronze medal!",
      "comment_count": 2,
      "views": 0,
      "votes": 9
    },
    {
      "id": 229628,
      "title": "💥💥 VinBigData Solution Compilation 🔥🔥",
      "comment_count": 7,
      "views": 0,
      "votes": 41
    },
    {
      "id": 229638,
      "title": " 12th place solution[1x2080Ti]",
      "comment_count": 8,
      "views": 0,
      "votes": 32
    },
    {
      "id": 230976,
      "title": "Suggestion to kaggle, to have a new Identity Verification Policy.",
      "comment_count": 2,
      "views": 0,
      "votes": 4
    },
    {
      "id": 229613,
      "title": "What a surprise!",
      "comment_count": 23,
      "views": 0,
      "votes": 60
    },
    {
      "id": 229687,
      "title": "76th place solution - EfficientDet",
      "comment_count": 4,
      "views": 0,
      "votes": 15
    },
    {
      "id": 229649,
      "title": "[34th place solution] Single model Yolov5",
      "comment_count": 13,
      "views": 0,
      "votes": 23
    },
    {
      "id": 229629,
      "title": "[10th place solution] YOLOv5 + VFNet + FasterRCNN",
      "comment_count": 27,
      "views": 0,
      "votes": 49
    },
    {
      "id": 226137,
      "title": "56.4 AP！Faster and stronger CenterNet2 is coming!",
      "comment_count": 1,
      "views": 0,
      "votes": 12
    },
    {
      "id": 229636,
      "title": "Part of 3rd Place Sol: Multi-label Classifier-based PP",
      "comment_count": 14,
      "views": 0,
      "votes": 39
    },
    {
      "id": 229618,
      "title": "8th[unexpected]",
      "comment_count": 14,
      "views": 0,
      "votes": 34
    },
    {
      "id": 229817,
      "title": "Does this metric even work?",
      "comment_count": 6,
      "views": 0,
      "votes": 15
    },
    {
      "id": 229626,
      "title": "21th place solution (36th public)",
      "comment_count": 12,
      "views": 0,
      "votes": 21
    },
    {
      "id": 229641,
      "title": "Best No Finding Classifiers",
      "comment_count": 17,
      "views": 0,
      "votes": 11
    },
    {
      "id": 229899,
      "title": "8th Place: Last hours top and late to be higher",
      "comment_count": 1,
      "views": 0,
      "votes": 11
    },
    {
      "id": 229611,
      "title": "What was the magic? GM Magic?",
      "comment_count": 19,
      "views": 0,
      "votes": 15
    },
    {
      "id": 229796,
      "title": "(0.290 Private Score) Add simple 15 class classifier",
      "comment_count": 3,
      "views": 0,
      "votes": 7
    },
    {
      "id": 229639,
      "title": "DICOM annotation tool is now open-source",
      "comment_count": 0,
      "views": 0,
      "votes": 17
    },
    {
      "id": 230551,
      "title": "Why have all my previous submission records been cleared out?",
      "comment_count": 0,
      "views": 0,
      "votes": -3
    },
    {
      "id": 230103,
      "title": "Why have all my previous submission records been cleared out?",
      "comment_count": 6,
      "views": 0,
      "votes": -3
    },
    {
      "id": 229673,
      "title": "What was your graphic / tensor processing unit used in the competition?",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 225693,
      "title": "Cheaters on the Leaderboard?",
      "comment_count": 61,
      "views": 0,
      "votes": 38
    },
    {
      "id": 229858,
      "title": "Will we be able to submit after deadline?",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 229663,
      "title": "Ensembling to Top28% on LB private",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 229579,
      "title": "Were 14th grade images necessary in training?",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 229356,
      "title": "Submisson question",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 227834,
      "title": "How to choose the correct threshold?",
      "comment_count": 7,
      "views": 0,
      "votes": 5
    },
    {
      "id": 229392,
      "title": "Help with Weights",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 228628,
      "title": "Sparse class issue: Training to just predict the classes, predicting all as 0s",
      "comment_count": 5,
      "views": 0,
      "votes": 3
    },
    {
      "id": 228278,
      "title": "What is the best detection score only you get",
      "comment_count": 6,
      "views": 0,
      "votes": 2
    },
    {
      "id": 228890,
      "title": "Some questions in WBF?",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 227425,
      "title": "Classification",
      "comment_count": 16,
      "views": 0,
      "votes": 8
    },
    {
      "id": 228016,
      "title": "did you know: opencv grouprectangles",
      "comment_count": 2,
      "views": 0,
      "votes": 16
    },
    {
      "id": 227034,
      "title": "mmdetection inference output",
      "comment_count": 19,
      "views": 0,
      "votes": 3
    },
    {
      "id": 227891,
      "title": "MMdetection questions",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 227586,
      "title": "performance of object detection only?",
      "comment_count": 11,
      "views": 0,
      "votes": 9
    },
    {
      "id": 226478,
      "title": "(Help me)My yolov5 baseline scores too low. what might it be a problem?",
      "comment_count": 38,
      "views": 0,
      "votes": 9
    },
    {
      "id": 225612,
      "title": "This is a Bribe!!! (Serious Rule Violation)",
      "comment_count": 17,
      "views": 0,
      "votes": 33
    },
    {
      "id": 228171,
      "title": "How to show images",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 225391,
      "title": "Best strategy to ensemble detection models",
      "comment_count": 23,
      "views": 0,
      "votes": 16
    },
    {
      "id": 228271,
      "title": "Breaking the Kaggle rule?",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 228363,
      "title": "Missed rules acceptance deadline",
      "comment_count": 1,
      "views": 0,
      "votes": 0
    },
    {
      "id": 220466,
      "title": "Long journey to be Notebooks Grandmaster",
      "comment_count": 39,
      "views": 0,
      "votes": 105
    },
    {
      "id": 223209,
      "title": "Best single model",
      "comment_count": 24,
      "views": 0,
      "votes": 26
    },
    {
      "id": 222707,
      "title": "Variance in LB score even with same hyperparameters and dataset (Yolov5x)",
      "comment_count": 111,
      "views": 0,
      "votes": 27
    },
    {
      "id": 227233,
      "title": "How we can get submission scores?",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 226907,
      "title": "Looking for Team Thread",
      "comment_count": 1,
      "views": 0,
      "votes": -5
    },
    {
      "id": 224716,
      "title": "Detect the heart and lungs to detect disease",
      "comment_count": 6,
      "views": 0,
      "votes": 13
    },
    {
      "id": 227641,
      "title": "What exactly are we to predict?",
      "comment_count": 0,
      "views": 0,
      "votes": -2
    },
    {
      "id": 226683,
      "title": "Just joined, quick question on models",
      "comment_count": 2,
      "views": 0,
      "votes": 5
    },
    {
      "id": 227451,
      "title": " why public notebooks have so big difference with top scores on LB?",
      "comment_count": 3,
      "views": 0,
      "votes": -6
    },
    {
      "id": 224654,
      "title": "How did they reach 0.300?",
      "comment_count": 22,
      "views": 0,
      "votes": -5
    },
    {
      "id": 225922,
      "title": "What is the difference in training with 4394 images and 15,000 images?",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 225707,
      "title": "Effect of transfer learning & training on external dataset",
      "comment_count": 3,
      "views": 0,
      "votes": 11
    },
    {
      "id": 226762,
      "title": "Medical domain knowledge help needed for worst performing classes ( Other lesion,  Calcification,  ILD)",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 227127,
      "title": "VinBigData Chest X-ray Abnormalities Detection submission.csv",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 226114,
      "title": "Inference time",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 225276,
      "title": "Why I use yolov5 only get 0.026 scores",
      "comment_count": 4,
      "views": 0,
      "votes": 4
    },
    {
      "id": 219672,
      "title": "1-step training & prediction",
      "comment_count": 14,
      "views": 0,
      "votes": 45
    },
    {
      "id": 225345,
      "title": "EDA Notebook for the competition [KAGGLE BEGINNER]",
      "comment_count": 3,
      "views": 0,
      "votes": 3
    },
    {
      "id": 226148,
      "title": "Sharing Darknet's YOLOv4 trained model files",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 225704,
      "title": "Yolov5 img hyperparameter changes improve the score by 0.033",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 224954,
      "title": "Weakly supervised training",
      "comment_count": 4,
      "views": 0,
      "votes": 6
    },
    {
      "id": 225747,
      "title": "Plot Images + Bounding Boxes",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 225450,
      "title": "New idea proposal",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 219090,
      "title": "possibility of public/private shake at this competition",
      "comment_count": 18,
      "views": 0,
      "votes": 16
    },
    {
      "id": 222180,
      "title": "Is anyone working with fastai medical?",
      "comment_count": 9,
      "views": 0,
      "votes": 4
    },
    {
      "id": 218175,
      "title": "Hierarchy of Classes",
      "comment_count": 3,
      "views": 0,
      "votes": 14
    },
    {
      "id": 224539,
      "title": "training with additional datasets",
      "comment_count": 4,
      "views": 0,
      "votes": 4
    },
    {
      "id": 223782,
      "title": "Overfitting & Cross-Validation questions",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 224538,
      "title": "🙋‍♂️Original image data training with Detectron2 [GPU usage] 🙋‍♂️",
      "comment_count": 5,
      "views": 0,
      "votes": 2
    },
    {
      "id": 219221,
      "title": "Preferable radiologist's id in the test dataset? ",
      "comment_count": 11,
      "views": 0,
      "votes": 35
    },
    {
      "id": 223678,
      "title": "Compressed single sized training and testing images in YOLO format",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 224346,
      "title": "Technical Specifications/Limitations of the Contest",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 219925,
      "title": "YOLOv5 Training Issue",
      "comment_count": 25,
      "views": 0,
      "votes": 6
    },
    {
      "id": 222544,
      "title": "Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions",
      "comment_count": 3,
      "views": 0,
      "votes": 12
    },
    {
      "id": 221664,
      "title": "Can we use external dataset?",
      "comment_count": 6,
      "views": 0,
      "votes": 4
    },
    {
      "id": 220761,
      "title": "Experiment on CV/Public LB relationship",
      "comment_count": 6,
      "views": 0,
      "votes": 17
    },
    {
      "id": 224088,
      "title": "YOLO Reshaping? ",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 223969,
      "title": "Not able to see notebooks section.",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 220295,
      "title": "What anchor size & aspect ratio should be used?",
      "comment_count": 6,
      "views": 0,
      "votes": 30
    },
    {
      "id": 223315,
      "title": "Unbalanced Dataset",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 222931,
      "title": "Issue with 4334f287e7a843348a24c4dfa9718d6f.dicom",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 207675,
      "title": "Papers on X-Rays and CXR",
      "comment_count": 6,
      "views": 0,
      "votes": 28
    },
    {
      "id": 207664,
      "title": "Previous X-Ray Competitions on Kaggle",
      "comment_count": 4,
      "views": 0,
      "votes": 63
    },
    {
      "id": 221931,
      "title": "Plot bounding box jpg dataset",
      "comment_count": 0,
      "views": 0,
      "votes": 5
    },
    {
      "id": 221740,
      "title": "About the limitation of Memory.",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 218311,
      "title": "Selectively downloading images from the data via filter variables.",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 221619,
      "title": "Need help in creating dataset class for multilabel object detection in a single image",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 215792,
      "title": "Extra dataset research",
      "comment_count": 3,
      "views": 0,
      "votes": 16
    },
    {
      "id": 221256,
      "title": "Opportunity to grow together/ earn upvotes!!",
      "comment_count": 9,
      "views": 0,
      "votes": -58
    },
    {
      "id": 219906,
      "title": "Preprocessing Dicom",
      "comment_count": 6,
      "views": 0,
      "votes": 1
    },
    {
      "id": 219201,
      "title": "LB score as an unreliable indicator",
      "comment_count": 6,
      "views": 0,
      "votes": 8
    },
    {
      "id": 218670,
      "title": "Beginner needing help",
      "comment_count": 6,
      "views": 0,
      "votes": 2
    },
    {
      "id": 212859,
      "title": "Mislabeled bounding boxes & other data issues (may need a radiologist here...)",
      "comment_count": 16,
      "views": 0,
      "votes": 14
    },
    {
      "id": 216181,
      "title": "Some radiologists only ever reviewed images with \"no findings\"?!",
      "comment_count": 6,
      "views": 0,
      "votes": 10
    },
    {
      "id": 219365,
      "title": "Is one or both of the classes correct in this case?",
      "comment_count": 2,
      "views": 0,
      "votes": 4
    },
    {
      "id": 217958,
      "title": "Cross validation and ensembling for object detection",
      "comment_count": 2,
      "views": 0,
      "votes": 5
    },
    {
      "id": 218496,
      "title": "DataLoader for computation efficiency. Also, using Radiologist ID data?",
      "comment_count": 3,
      "views": 0,
      "votes": 6
    },
    {
      "id": 218749,
      "title": "Which image size is the best?",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 219099,
      "title": "What do height and width field in dataset mean?",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 219069,
      "title": "Question related to evaluation metric",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 217886,
      "title": "Treatment of No findings 'Real' vs 'Superficial' No findings.❓❓❓",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 218281,
      "title": "Converting dicom to jpeg in R",
      "comment_count": 4,
      "views": 0,
      "votes": 4
    },
    {
      "id": 218895,
      "title": "Not able to search and find R notebooks",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 214906,
      "title": "nms > weighted box fusion?",
      "comment_count": 13,
      "views": 0,
      "votes": 11
    },
    {
      "id": 218552,
      "title": "Question about the metric.",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 217461,
      "title": "Why do all models use only abnormal images ",
      "comment_count": 5,
      "views": 0,
      "votes": 4
    },
    {
      "id": 218676,
      "title": "ValueError: Asked to retrieve element 0, but the Sequence has length 0",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 218432,
      "title": "Error when calling fit model in R",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 215371,
      "title": "AIC - Local Group Discussion",
      "comment_count": 9,
      "views": 0,
      "votes": 3
    },
    {
      "id": 218254,
      "title": "Tips for proper data augmentation",
      "comment_count": 0,
      "views": 0,
      "votes": -2
    },
    {
      "id": 217106,
      "title": "Lung field crop for CXR images",
      "comment_count": 0,
      "views": 0,
      "votes": 10
    },
    {
      "id": 214284,
      "title": "The  correlation between CV/Public score",
      "comment_count": 28,
      "views": 0,
      "votes": 18
    },
    {
      "id": 215444,
      "title": "What is the role of rad_id?",
      "comment_count": 5,
      "views": 0,
      "votes": 6
    },
    {
      "id": 217231,
      "title": "Rely on LB/CV score to tune the model",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 217180,
      "title": "Queries regarding TF 2 Object Detection API",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 216570,
      "title": "Extracting DICOM non-image metadata",
      "comment_count": 7,
      "views": 0,
      "votes": 2
    },
    {
      "id": 215440,
      "title": "An error in Mask RCNN in the mode training",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 215328,
      "title": "CUDA Out of memory when I input a single image. ",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 215928,
      "title": "Error when read submit in Kaggle Notebooks",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 215417,
      "title": "What is the measurement unit of the window center/width?",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 215290,
      "title": "What is the role of the confidence in calculating your score?",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 215015,
      "title": "No such file or directory: '../input'",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 214664,
      "title": "Is resizing images an option?",
      "comment_count": 0,
      "views": 0,
      "votes": 5
    },
    {
      "id": 214625,
      "title": "Is it Transfer Learning allowed in the competition? ",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 214904,
      "title": "Using Apache Spark for the competition",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 214395,
      "title": "Transfer learning allowed",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 208478,
      "title": "Faster Data loading with numpy files",
      "comment_count": 4,
      "views": 0,
      "votes": 4
    },
    {
      "id": 214816,
      "title": "efficientdet-yolov5",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 214533,
      "title": "Downloading VinBigData to google colab error",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 212828,
      "title": "Is there any license issue? (such as YOLOv5)",
      "comment_count": 2,
      "views": 0,
      "votes": 13
    },
    {
      "id": 213523,
      "title": "Paper Vs Competition Labels",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 213976,
      "title": "Metadata of dicom files",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 211693,
      "title": "How did you download the dataset? ",
      "comment_count": 6,
      "views": 0,
      "votes": 3
    },
    {
      "id": 211026,
      "title": "(Question) Why was bounding box chosen instead of segmentation for the annotation?",
      "comment_count": 5,
      "views": 0,
      "votes": 10
    },
    {
      "id": 207859,
      "title": "VinBigData PNG Dataset and YOLOv5 Baseline 14 Class",
      "comment_count": 3,
      "views": 0,
      "votes": 18
    },
    {
      "id": 211863,
      "title": "📦Bounding Box Fusion📦",
      "comment_count": 8,
      "views": 0,
      "votes": 5
    },
    {
      "id": 212289,
      "title": "Radiologist Consensus for the Test Set",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 212592,
      "title": "Submission",
      "comment_count": 5,
      "views": 0,
      "votes": 1
    },
    {
      "id": 211855,
      "title": "Doubts With DICOM",
      "comment_count": 6,
      "views": 0,
      "votes": 3
    },
    {
      "id": 208224,
      "title": "Evaluation Matrix   for submission.",
      "comment_count": 4,
      "views": 0,
      "votes": 3
    },
    {
      "id": 210570,
      "title": "Object detection library",
      "comment_count": 6,
      "views": 0,
      "votes": 16
    },
    {
      "id": 210351,
      "title": "[LB: 0.201] 🌟2 Class Filter🌟",
      "comment_count": 10,
      "views": 0,
      "votes": 41
    },
    {
      "id": 211035,
      "title": "5 Radiologists' \"Consensus\"",
      "comment_count": 9,
      "views": 0,
      "votes": 5
    },
    {
      "id": 207969,
      "title": "Test dataset has annotation from multiple radiologists??",
      "comment_count": 5,
      "views": 0,
      "votes": 4
    },
    {
      "id": 209325,
      "title": "TF Object Detection API for Faster RCNN ",
      "comment_count": 7,
      "views": 0,
      "votes": 4
    },
    {
      "id": 210770,
      "title": "Handling Multiple annotations by multiple radiologists ",
      "comment_count": 1,
      "views": 0,
      "votes": 7
    },
    {
      "id": 211097,
      "title": "Extracting header information efficiently from DICOM files",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 211010,
      "title": "Efficient storage of images & data loading",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 209298,
      "title": "Different annotations for same bboxes by the same Radiologist",
      "comment_count": 5,
      "views": 0,
      "votes": 7
    },
    {
      "id": 210615,
      "title": "Working with single channel data",
      "comment_count": 1,
      "views": 0,
      "votes": 4
    },
    {
      "id": 210920,
      "title": "The image ids do not match between train dicom files and train.csv",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 211029,
      "title": "[?]Scoring Function",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 208781,
      "title": "How to present the images that have multiple classes",
      "comment_count": 6,
      "views": 0,
      "votes": 10
    },
    {
      "id": 207757,
      "title": "dicom to png warning",
      "comment_count": 3,
      "views": 0,
      "votes": 6
    },
    {
      "id": 209867,
      "title": "⚡Fast DICOM to Pandas Dataframe⚡",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 208897,
      "title": "Is the problem a multi label problem?",
      "comment_count": 4,
      "views": 0,
      "votes": 5
    },
    {
      "id": 208410,
      "title": "Competition metric calculator",
      "comment_count": 2,
      "views": 0,
      "votes": 18
    },
    {
      "id": 208046,
      "title": "Are we allowed to create public dataset from the competition data?",
      "comment_count": 5,
      "views": 0,
      "votes": 1
    },
    {
      "id": 208524,
      "title": "Nodule/Mass external data",
      "comment_count": 0,
      "views": 0,
      "votes": 14
    },
    {
      "id": 207686,
      "title": "A glossary of terms: Some domain knowledge and points to consider",
      "comment_count": 3,
      "views": 0,
      "votes": 16
    },
    {
      "id": 208035,
      "title": "🔱 ⚜️ Chest X-ray Datasets Compilation 🔰 ♻️",
      "comment_count": 1,
      "views": 0,
      "votes": 10
    },
    {
      "id": 207824,
      "title": "Competition data JPG dataset",
      "comment_count": 4,
      "views": 0,
      "votes": 30
    },
    {
      "id": 207694,
      "title": "Past Competition Solutions",
      "comment_count": 3,
      "views": 0,
      "votes": 33
    },
    {
      "id": 207931,
      "title": "Solve the overlapping bounding box problem ",
      "comment_count": 6,
      "views": 0,
      "votes": 6
    },
    {
      "id": 207813,
      "title": "Patient Metadata from DICOM Format",
      "comment_count": 4,
      "views": 0,
      "votes": 5
    },
    {
      "id": 208305,
      "title": "【日本語】14の異常所見について解説Notebook",
      "comment_count": 0,
      "views": 0,
      "votes": 8
    },
    {
      "id": 208119,
      "title": "Localization of Findings",
      "comment_count": 2,
      "views": 0,
      "votes": 5
    },
    {
      "id": 208367,
      "title": "TTA for Object detection",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 208175,
      "title": "Medical considerations ",
      "comment_count": 0,
      "views": 0,
      "votes": 9
    },
    {
      "id": 208571,
      "title": "Localization of Findings by Gender",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 207750,
      "title": "Labels Discussion / CheXNet Comparison",
      "comment_count": 0,
      "views": 0,
      "votes": 24
    },
    {
      "id": 208651,
      "title": "What is localization?",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 208111,
      "title": "Patient Age - is this adults only?",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 208471,
      "title": "Error - compiling darknet in kaggle",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 207683,
      "title": "DICOM and Pydicom: A go-to thread",
      "comment_count": 2,
      "views": 0,
      "votes": 14
    },
    {
      "id": 208265,
      "title": "Evaluation Metric",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 207912,
      "title": "Images with No Findings",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 207721,
      "title": "Possible data splitting strategy? ",
      "comment_count": 3,
      "views": 0,
      "votes": 6
    },
    {
      "id": 207871,
      "title": "Out of Runtime Disk Space for downloading data",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 207834,
      "title": "Faster way to read DICOM data (?)",
      "comment_count": 0,
      "views": 0,
      "votes": 6
    },
    {
      "id": 207752,
      "title": "Are there multiple images fom same patient?",
      "comment_count": 5,
      "views": 0,
      "votes": 2
    },
    {
      "id": 207703,
      "title": "Possible External Data",
      "comment_count": 0,
      "views": 0,
      "votes": 7
    },
    {
      "id": 207968,
      "title": "My First EDA",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 207837,
      "title": "DICOM Metadata Values interpretation",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 207953,
      "title": "Reduce the size of data",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 207817,
      "title": "Some Genders missing from DICOM data?",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 207823,
      "title": "Dataset: Convert DICOM to JPG",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 207747,
      "title": "Chast X-ray Abnormalities: knowledge for the 15 conditions",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 207770,
      "title": "Only partial data downloaded to Colab",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 207971,
      "title": "Data Augmentation in XRays",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 207723,
      "title": "Kaggle API",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 207677,
      "title": "How to plot dicom files?",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 207726,
      "title": "VTK: Loading Images Faster",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    }
  ],
  "errors": []
}