Dataset Versions

v4

dummy_version

Generated on Sep 11, 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 88%
2691Images
Valid Set 8%
247Images
Test Set 4%
131Images

Preprocessing

Resize: Fit within 640x640

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Shear: ±10° Horizontal, ±10° Vertical
Brightness: Between -19% and +19%
Exposure: Between -15% and +15%
Noise: Up to 0.18% of pixels

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