Dataset Versions

v9

2023-03-10 9:15pm

Generated on Mar 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.
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Dataset Split

Train Set 90%
192Images
Valid Set 6%
13Images
Test Set 4%
8Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Grayscale: Apply to 32% of images
Hue: Between -113° and +113°
Saturation: Between -50% and +50%
Brightness: Between -93% and +93%
Exposure: Between -71% and +71%
Blur: Up to 0.5px
Noise: Up to 2% of pixels
Mosaic: Applied

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