Dataset Versions

v8

Additional_100

Generated on Aug 2, 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%
885Images
Valid Set 8%
84Images
Test Set 4%
41Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 16% Maximum Zoom
Hue: Between -18° and +18°
Saturation: Between -39% and +39%
Brightness: Between -17% and +17%
Blur: Up to 5px
Noise: Up to 11% of pixels
Cutout: 22 boxes with 2% size each
Mosaic: Applied

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