Dataset Versions

v7

2024-07-01 9:03am

Generated on Jul 1, 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.
Other Formats
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Dataset Split

Train Set 86%
1210Images
Valid Set 9%
127Images
Test Set 5%
75Images

Preprocessing

Auto-Orient: Applied
Modify Classes: 0 remapped, 24 dropped

Augmentations

Outputs per training example: 5
Flip: Horizontal, Vertical
Rotation: Between -10° and +10°
Shear: ±5° Horizontal, ±5° Vertical
Hue: Between -25° and +25°
Saturation: Between -20% and +20%
Exposure: Between -13% and +13%
Blur: Up to 2px
Noise: Up to 1% of pixels
Bounding Box: Noise: Up to 1.01% of pixels