{ "id": 207859, "title": "VinBigData PNG Dataset and YOLOv5 Baseline 14 Class", "url": "/competitions/vinbigdata-chest-xray-abnormalities-detection/discussion/207859", "author_name": "Awsaf", "post_date": "2020-12-31T16:31:23.160000", "votes": 18, "comment_count": 3, "views": 0, "content": "

I have published a notebook regarding how to use v5 as it's allowed in this competition. I have also a few datasets (.png) formats to get started. Dataset was created using this Notebook. Hope this helps 😄

\n

Notebook:
\nTrain Notebook
\nInfer Notebook

\n

Dataset:
\nYOLOv5 Labels
\n1024x1024 Dataset
\n512x512 Dataset
\n256x256 Dataset
\nOriginal Size '.jpg'
\n\"\"
\n\"\"

", "messages": [ { "id": 1133915, "postDate": "2020-12-31T16:31:23.160Z", "content": "

I have published a notebook regarding how to use v5 as it's allowed in this competition. I have also a few datasets (.png) formats to get started. Dataset was created using this Notebook. Hope this helps 😄

\n

Notebook:
\nTrain Notebook
\nInfer Notebook

\n

Dataset:
\nYOLOv5 Labels
\n1024x1024 Dataset
\n512x512 Dataset
\n256x256 Dataset
\nOriginal Size '.jpg'
\n\"\"
\n\"\"

", "rawMarkdown": "I have published a notebook regarding how to use v5 as it's allowed in this competition. I have also a few datasets (`.png`) formats to get started. Dataset was created using this [Notebook](https://www.kaggle.com/raddar/convert-dicom-to-np-array-the-correct-way). Hope this helps 😄\n\n**Notebook:**\n[Train Notebook](https://www.kaggle.com/awsaf49/vinbigdata-cxr-ad-yolov5-14-class-train)\n[Infer Notebook](https://www.kaggle.com/awsaf49/vinbigdata-cxr-ad-yolov5-14-class-infer)\n\n**Dataset:**\n[YOLOv5 Labels](https://www.kaggle.com/awsaf49/vinbigdata-yolo-labels-dataset)\n[1024x1024 Dataset](https://www.kaggle.com/awsaf49/vinbigdata-1024-image-dataset)\n[512x512 Dataset](https://www.kaggle.com/awsaf49/vinbigdata-512-image-dataset)\n[256x256 Dataset](https://www.kaggle.com/awsaf49/vinbigdata-256-image-dataset)\n[Original Size '.jpg'](https://www.kaggle.com/awsaf49/vinbigdata-original-image-dataset)\n![](https://user-images.githubusercontent.com/26833433/98699617-a1595a00-2377-11eb-8145-fc674eb9b1a7.jpg)\n![](https://user-images.githubusercontent.com/26833433/90187293-6773ba00-dd6e-11ea-8f90-cd94afc0427f.png)", "votes": 18 }, { "id": 1170573, "postDate": "2021-01-26T09:37:40.797Z", "content": "

Thanks for sharing. The link for 256 is wrong, please double check the link.

", "rawMarkdown": "Thanks for sharing. The link for 256 is wrong, please double check the link.", "votes": 1, "replies": [ { "id": 1170774, "postDate": "2021-01-26T12:33:37.990Z", "content": "

thanks, fixed it

", "rawMarkdown": "thanks, fixed it", "votes": 1 } ] }, { "id": 1134172, "postDate": "2020-12-31T23:36:49.273Z", "content": "

Thanks for sharing the dataset! It helps in loading the images faster and makes the dataset lighter.

", "rawMarkdown": "Thanks for sharing the dataset! It helps in loading the images faster and makes the dataset lighter.", "votes": 1 } ], "comments": [ { "id": 1170573, "author_name": "Vikings", "author_url": "", "post_date": "2021-01-26T09:37:40.797000", "content": "

Thanks for sharing. The link for 256 is wrong, please double check the link.

", "votes": 1, "replies": [ { "id": 1170774, "author_name": "Awsaf", "author_url": "", "post_date": "2021-01-26T12:33:37.990000", "content": "

thanks, fixed it

", "votes": 1, "replies": [] } ] }, { "id": 1134172, "author_name": "Yerram Varun", "author_url": "", "post_date": "2020-12-31T23:36:49.273000", "content": "

Thanks for sharing the dataset! It helps in loading the images faster and makes the dataset lighter.

", "votes": 1, "replies": [] } ], "raw_markdown_by_id": { "1133915": "I have published a notebook regarding how to use v5 as it's allowed in this competition. I have also a few datasets (`.png`) formats to get started. Dataset was created using this [Notebook](https://www.kaggle.com/raddar/convert-dicom-to-np-array-the-correct-way). Hope this helps 😄\n\n**Notebook:**\n[Train Notebook](https://www.kaggle.com/awsaf49/vinbigdata-cxr-ad-yolov5-14-class-train)\n[Infer Notebook](https://www.kaggle.com/awsaf49/vinbigdata-cxr-ad-yolov5-14-class-infer)\n\n**Dataset:**\n[YOLOv5 Labels](https://www.kaggle.com/awsaf49/vinbigdata-yolo-labels-dataset)\n[1024x1024 Dataset](https://www.kaggle.com/awsaf49/vinbigdata-1024-image-dataset)\n[512x512 Dataset](https://www.kaggle.com/awsaf49/vinbigdata-512-image-dataset)\n[256x256 Dataset](https://www.kaggle.com/awsaf49/vinbigdata-256-image-dataset)\n[Original Size '.jpg'](https://www.kaggle.com/awsaf49/vinbigdata-original-image-dataset)\n![](https://user-images.githubusercontent.com/26833433/98699617-a1595a00-2377-11eb-8145-fc674eb9b1a7.jpg)\n![](https://user-images.githubusercontent.com/26833433/90187293-6773ba00-dd6e-11ea-8f90-cd94afc0427f.png)", "1170573": "Thanks for sharing. The link for 256 is wrong, please double check the link.", "1134172": "Thanks for sharing the dataset! It helps in loading the images faster and makes the dataset lighter." } }