Commit History

9 days ago

  1. Photos hold 2 to 9 items, not 2 to 8

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    cadb8d3
  2. Clarify that the 0.55 F1 is the YOLO plus EfficientNet pipeline, and the grape finding

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    e499a15
  3. Rename to Kitchen Fruit & Vegetable Detection, add COCO annotations and a fuller dataset card

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    16419bc
  4. Add the SnapShelf Kitchen Produce test set: 120 photos, 585 boxes, 14 classes

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    baeff76
  5. initial commit

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    417f507