Dataset Versions

v2

2024-04-28 7:38pm

Generated on Apr 28, 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 87%
4551Images
Valid Set 9%
448Images
Test Set 4%
216Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 7% Maximum Zoom
Rotation: Between -25° and +25°
Saturation: Between -30% and +30%
Exposure: Between -13% and +13%
Blur: Up to 0.6px
Noise: Up to 1.65% of pixels