Dataset Versions

v2

2023-05-01 3:15am

Generated on Apr 30, 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 88%
5727Images
Valid Set 8%
544Images
Test Set 4%
271Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (reflect edges) in 640x640

Augmentations

Outputs per training example: 3
Rotation: Between -10° and +10°
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -20% and +20%
Blur: Up to 1.25px
Noise: Up to 5% of pixels

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