Dataset Versions

v2

2023-12-31 2:59pm

Generated on Dec 31, 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 87%
444Images
Valid Set 8%
43Images
Test Set 4%
21Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -5° and +5°
Grayscale: Apply to 100% of images
Brightness: Between -14% and +14%
Blur: Up to 0.8px
Cutout: 5 boxes with 3% size each

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