{
  "id": "bibanh/lb-0-623-resnet26d-unet-inference",
  "id_no": 40100798,
  "title": "[LB 0.623 | Resnet26D + UNet] Inference",
  "code_file": "lb-0-623-resnet26d-unet-inference.ipynb",
  "language": "python",
  "kernel_type": "notebook",
  "is_private": false,
  "enable_gpu": true,
  "enable_tpu": false,
  "enable_internet": false,
  "keywords": [
    "gpu"
  ],
  "dataset_sources": [
    "",
    "bibanh/resnet26d-v1",
    "shashwatraman/smp-github",
    "ar90ngas/timm-pretrained-resnest"
  ],
  "kernel_sources": [
    "phoenix9032/segmodelpytorchwheel",
    "janhuebi/unet-pytorch-baseline-lb-0-608-training",
    "bibanh/lb-0-623-resnet26d-unet-training"
  ],
  "competition_sources": [
    "google-research-identify-contrails-reduce-global-warming"
  ],
  "model_sources": [],
  "docker_image": "gcr.io/kaggle-private-byod/python@sha256:29091414ae3b30c84c4374fdc879954e4f3ed7226b7753baae5fcd511d762d5f",
  "machine_shape": "Gpu"
}