Dataset Versions

v1

2024-04-27 7:05pm

Generated on Apr 27, 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%
1980Images
Valid Set 8%
190Images
Test Set 4%
94Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Shear: ±12° Horizontal, ±12° Vertical
Hue: Between -23° and +23°
Saturation: Between -25% and +25%
Exposure: Between -14% and +14%
Blur: Up to 2.5px
Noise: Up to 0.97% of pixels

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