Dataset Versions

v13

2024-02-17 9:24pm

Generated on Feb 17, 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.
Other Formats
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Dataset Split

Train Set 90%
7986Images
Valid Set 7%
656Images
Test Set 3%
258Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Shear: ±12° Horizontal, ±6° Vertical
Saturation: Between -15% and +15%
Brightness: Between -22% and +22%
Blur: Up to 1.4px
Noise: Up to 0.1% of pixels
Bounding Box: Noise: Up to 0.5% of pixels

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