Dataset Versions

v3

2023-11-26 2:47pm

Generated on Nov 26, 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.
Other Formats
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Dataset Split

Train Set 72%
150Images
Valid Set 11%
23Images
Test Set 17%
35Images

Preprocessing

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

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 38% Maximum Zoom
Shear: ±15° Horizontal, ±30° Vertical
Brightness: Between -28% and +28%
Blur: Up to 1.25px
Noise: Up to 9% of pixels
Cutout: 11 boxes with 10% size each
Mosaic: Applied
Bounding Box: Flip: Horizontal

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