Dataset Versions

v1

2022-12-23 5:06pm

Generated on Dec 23, 2022

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 88%
1983Images
Valid Set 8%
191Images
Test Set 4%
91Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 50% Maximum Zoom
Grayscale: Apply to 25% of images
Hue: Between -50° and +50°
Saturation: Between -74% and +74%
Brightness: Between -40% and +40%
Exposure: Between -25% and +25%
Blur: Up to 1px
Noise: Up to 1% of pixels

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