Dataset Versions

v2

2024-01-16 8:30am

Generated on Jan 16, 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%
438Images
Valid Set 4%
21Images
Test Set 2%
9Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -26° and +26°
Brightness: Between -49% and +49%
Blur: Up to 4.25px
Noise: Up to 2% of pixels
Bounding Box: Flip: Horizontal
Bounding Box: Rotation: Between -45° and +45°

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