Dataset Versions

v3

v2M_upated

Generated on May 11, 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 82%
8814Images
Valid Set 12%
1258Images
Test Set 6%
628Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied

Augmentations

Outputs per training example: 2
Grayscale: Apply to 25% of images
Exposure: Between -10% and +10%
Bounding Box: Shear: ±10° Horizontal, ±10° Vertical
Bounding Box: Blur: Up to 2.5px
Bounding Box: Noise: Up to 2% of pixels

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