experiments/region-coherence-20260928/segmentation_teacher.json

{
  "weights": "DeepLabV3_ResNet50_Weights.COCO_WITH_VOC_LABELS_V1",
  "url": "https://download.pytorch.org/models/deeplabv3_resnet50_coco-cd0a2569.pth",
  "parameters": 42004074,
  "categories": [
    "__background__",
    "aeroplane",
    "bicycle",
    "bird",
    "boat",
    "bottle",
    "bus",
    "car",
    "cat",
    "chair",
    "cow",
    "diningtable",
    "dog",
    "horse",
    "motorbike",
    "person",
    "pottedplant",
    "sheep",
    "sofa",
    "train",
    "tvmonitor"
  ],
  "preprocess": "SemanticSegmentation(\n    resize_size=[520]\n    mean=[0.485, 0.456, 0.406]\n    std=[0.229, 0.224, 0.225]\n    interpolation=InterpolationMode.BILINEAR\n)"
}