Dataset Versions

v4

2024-05-09 8-41pm

Generated on May 9, 2024

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%
957Images
Valid Set 8%
89Images
Test Set 5%
57Images

Preprocessing

Auto-Orient: Applied
Static Crop: 22-90% Horizontal Region, 30-73% Vertical Region
Resize: Fit within 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Saturation: Between -30% and +30%
Brightness: Between -20% and +20%