Dataset Versions

v4

2023-11-01 9:03pm

Generated on Nov 1, 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 92%
2211Images
Valid Set 4%
98Images
Test Set 4%
93Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -14° and +14°
Shear: ±18° Horizontal, ±5° Vertical
Grayscale: Apply to 41% of images
Saturation: Between -21% and +21%
Brightness: Between -26% and +26%
Bounding Box: Rotation: Between -15° and +15°

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