Dataset Versions

v2

2023-11-17 8:51pm

Generated on Nov 17, 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 87%
45Images
Valid Set 10%
5Images
Test Set 4%
2Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 62% of images
Hue: Between -131° and +131°
Blur: Up to 5px
Noise: Up to 16% of pixels
Cutout: 5 boxes with 25% size each

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