Dataset Versions

v12

RC2023 V3

Generated on Jun 22, 2023

Popular Download Formats

Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
Other Formats
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Dataset Split

Train Set 75%
2781Images
Valid Set 15%
560Images
Test Set 10%
374Images

Preprocessing

Resize: Fit within 600x600
Modify Classes: 0 remapped, 4 dropped
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Hue: Between -59° and +59°
Brightness: Between -16% and +16%
Exposure: Between -17% and +17%

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