Dataset Versions

v4

2024-01-31 11:37pm

Generated on Jan 31, 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 90%
528Images
Valid Set 7%
40Images
Test Set 3%
20Images

Preprocessing

Auto-Orient: Applied
Resize: Fill (with center crop) in 416x416

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Saturation: Between -25% and +25%
Exposure: Between -10% and +10%

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