Dataset Versions

v2

2024-09-18 8:33pm

Generated on Sep 18, 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 97%
363Images
Valid Set 3%
11Images
Test Set %
0Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 12% Maximum Zoom
Shear: ±10° Horizontal, ±19° Vertical
Hue: Between -20° and +20°
Exposure: Between -12% and +12%
Blur: Up to 2.5px
Noise: Up to 1.29% of pixels
Cutout: 10 boxes with 18% size each
Mosaic: Applied
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise
Bounding Box: Brightness: Between -61% and +61%
Bounding Box: Blur: Up to 15.8px

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