Dataset Versions

v9

2022-11-03 10:16am

Generated on Nov 3, 2022

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 56%
4368Images
Valid Set 40%
3130Images
Test Set 3%
253Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Grayscale: Apply to 30% of images
Noise: Up to 5% of pixels
Bounding Box: Flip: Horizontal
Bounding Box: Exposure: Between -25% and +25%

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