Dataset Versions

v2

2023-12-31 11:54am

Generated on Dec 31, 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 92%
480Images
Valid Set %
0Images
Test Set 8%
40Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Grayscale: Apply to 23% of images
Hue: Between -25° and +25°
Brightness: Between -25% and +25%
Blur: Up to 1.9px
Noise: Up to 1.56% of pixels
Cutout: 9 boxes with 12% size each

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