Dataset Versions

v4

2023-07-10 2:11pm

Generated on Jul 10, 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 89%
534Images
Valid Set 6%
35Images
Test Set 5%
32Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -32° and +32°
Shear: ±8° Horizontal, ±8° Vertical
Hue: Between -10° and +10°
Brightness: Between -29% and +29%
Exposure: Between -38% and +38%
Blur: Up to 1.25px

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