Dataset Versions

v3

augmented_v2

Generated on Oct 18, 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.
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Dataset Split

Train Set 82%
8486Images
Valid Set 11%
1181Images
Test Set 6%
631Images

Preprocessing

Modify Classes: 0 remapped, 28 dropped

Augmentations

Outputs per training example: 2
Rotation: Between -3° and +3°
Saturation: Between -30% and +30%
Brightness: Between -40% and +40%
Exposure: Between -30% and +30%
Blur: Up to 4px
Noise: Up to 5% of pixels