Dataset Versions

v6

2023-11-22 1:28pm

Generated on Nov 22, 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 58%
3288Images
Valid Set 37%
2090Images
Test Set 5%
298Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -45° and +45°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 99% of images
Hue: Between -25° and +25°
Saturation: Between -81% and +81%
Brightness: Between -25% and +25%
Exposure: Between -24% and +24%
Blur: Up to 2.5px
Noise: Up to 12% of pixels
Cutout: 3 boxes with 10% size each
Mosaic: Applied

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