Dataset Versions

v4

2024-10-14 5:34am

Generated on Oct 14, 2024

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 94%
489Images
Valid Set 6%
30Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1280x1280

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Saturation: Between -10% and +10%
Brightness: Between -4% and +4%
Exposure: Between -3% and +3%
Blur: Up to 0.4px
Noise: Up to 0.02% of pixels

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