Dataset Versions

v3

2023-11-11 2:24pm

Generated on Nov 11, 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 88%
21Images
Valid Set %
0Images
Test Set 13%
3Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Grayscale: Apply to 52% of images
Brightness: Between -46% and +46%
Blur: Up to 4.5px
Noise: Up to 11% of pixels
Cutout: 20 boxes with 14% size each
Mosaic: Applied

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