Dataset Versions

v3

V2

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.
Other Formats
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Dataset Split

Train Set 91%
4656Images
Valid Set 6%
291Images
Test Set 3%
157Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Rotation: Between -7° and +7°
Grayscale: Apply to 11% of images
Hue: Between -17° and +17°
Saturation: Between -16% and +16%
Brightness: Between -16% and +16%
Exposure: Between -15% and +15%
Blur: Up to 1.25px
Noise: Up to 5% of pixels

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