Dataset Versions

v2

2023-11-19 12:35pm

Generated on Nov 19, 2023

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%
1941Images
Valid Set 9%
190Images
Test Set 4%
93Images

Preprocessing

Auto-Orient: Applied
Static Crop: 10-75% Horizontal Region, 12-75% Vertical Region
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Shear: ±19° Horizontal, ±15° Vertical
Grayscale: Apply to 30% of images
Exposure: Between -33% and +33%
Cutout: 4 boxes with 14% size each
Bounding Box: Noise: Up to 6% of pixels

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