Dataset Versions

v7

Most accurate datasets

Generated on Jan 23, 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 89%
1794Images
Valid Set 7%
134Images
Test Set 4%
79Images

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: ±15° Horizontal, ±15° Vertical
Hue: Between -26° and +26°
Brightness: Between -24% and +24%
Mosaic: Applied
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Brightness: Between -25% and +25%

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