Dataset Versions

v9

2023-10-11 3:14pm

Generated on Oct 11, 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 83%
132Images
Valid Set 11%
17Images
Test Set 7%
11Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 10% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±11° Vertical
Grayscale: Apply to 12% of images
Brightness: Between -25% and +25%
Blur: Up to 0.25px
Noise: Up to 3% of pixels

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