{
  "scope": "Genuine frozen official VICReg ResNet-50 features; no classifier or benchmark evaluation.",
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    {
      "id": "cat",
      "title": "Chelsea the cat",
      "source": {
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        "author": "Stefan van der Walt",
        "license": "CC0",
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          "file": "cat-flip.png",
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    {
      "id": "coffee",
      "title": "Cup of coffee",
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        "license": "CC0",
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      ]
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    "coffee-original",
    "cat-flip",
    "coffee-flip"
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  "featureShape": [
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  "inputShape": [
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  "cosine": [
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  "featuresSha256": "3a4aebcdea1708f0eb2c93690842ec33ef453ce2f641a74242803a04fe431248",
  "mechanics": {
    "scope": "Random small CNN; licensed photos; no training update.",
    "loss": 20.545785903930664,
    "zShape": [
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    "terms": {
      "invariance": 0.1583508849143982,
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      "covariance": 1.1788725852966309
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  "provenance": {
    "architecture": "Official ResNet-50 backbone; torchvision equivalent; fc Identity; 318 strictly loaded tensors",
    "officialRevision": "4e12602fd495af83efd1631fbe82523e6db092e0",
    "source": "https://github.com/facebookresearch/vicreg",
    "checkpointUrl": "https://dl.fbaipublicfiles.com/vicreg/resnet50.pth",
    "checkpointSha256": "c843e7652491ff2f712734619fd74d85e5e92ac902615665ad3fd50dc6ada591",
    "preprocessing": "RGB PIL; short-side Resize(256), bilinear, antialias=True; CenterCrop(224); ToTensor [0,1]; Normalize mean [0.485,0.456,0.406], std [0.229,0.224,0.225]. Deterministic horizontal flip before preprocessing for second pair.",
    "evaluationSource": "https://github.com/facebookresearch/vicreg/blob/4e12602fd495af83efd1631fbe82523e6db092e0/evaluate.py#L200-L210",
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    "seed": 7,
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    "command": "python examples/vicreg_training.py --export public/examples/vicreg-demo --checkpoint .context/paper-series/weights/vicreg-resnet50.pth"
  }
}