Dataset Versions

v10

2023-06-02 10:27am

Generated on Jun 2, 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 76%
1212Images
Valid Set 6%
101Images
Test Set 17%
278Images

Preprocessing

Resize: Stretch to 320x320
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 11% Minimum Zoom, 31% Maximum Zoom
Rotation: Between -12° and +12°
Shear: ±15° Horizontal, ±15° Vertical
Blur: Up to 2.5px
Bounding Box: Exposure: Between -28% and +28%

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