Dataset Versions

v3

2024-12-09 5:02pm

Generated on Dec 9, 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.
Other Formats
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Dataset Split

Train Set 82%
951Images
Valid Set 9%
105Images
Test Set 9%
105Images

Preprocessing

Auto-Orient: Applied
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Noise: Up to 0.1% of pixels
Bounding Box: Noise: Up to 0.1% of pixels

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