Dataset Versions

v2

640-aabb-stage1

Generated on Jun 7, 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 81%
612Images
Valid Set 12%
90Images
Test Set 7%
55Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 640x640
Modify Classes: 0 remapped, 18 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -10° and +10°
Hue: Between -25° and +25°
Saturation: Between -20% and +20%
Exposure: Between -13% and +13%
Blur: Up to 1.5px
Noise: Up to 1% of pixels