Dataset Versions

v12

augmented V2.1

Generated on Jun 18, 2022

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 87%
3573Images
Valid Set 8%
340Images
Test Set 4%
175Images

Preprocessing

Auto-Orient: Applied
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Flip: Vertical
Rotation: Between -15° and +15°
Noise: Up to 5% of pixels
Bounding Box: Brightness: Between -23% and +23%