Dataset Versions

v10

2023-06-24 7:44pm

Generated on Jun 24, 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 77%
3540Images
Valid Set 8%
359Images
Test Set 15%
686Images

Preprocessing

Auto-Orient: Applied
Modify Classes: 7 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal
Grayscale: Apply to 25% of images
Brightness: Between -25% and +25%
Blur: Up to 0.5px
Noise: Up to 2% of pixels
Mosaic: Applied
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise
Bounding Box: Blur: Up to 4px

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