Dataset Versions

v1

2023-08-24 4:57pm

Generated on Aug 24, 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 88%
6633Images
Valid Set 8%
619Images
Test Set 4%
323Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 67% Maximum Zoom
Grayscale: Apply to 5% of images
Brightness: Between -42% and +42%
Blur: Up to 2.5px
Cutout: 4 boxes with 11% size each
Bounding Box: Noise: Up to 2% of pixels

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