Dataset Versions

v4

2023-07-01 7:16am

Generated on Jul 1, 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 87%
1953Images
Valid Set 8%
186Images
Test Set 4%
96Images

Preprocessing

Auto-Orient: Applied
Modify Classes: 0 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Shear: ±45° Horizontal, ±45° Vertical
Hue: Between -25° and +25°
Saturation: Between -50% and +50%
Brightness: Between -50% and +50%
Blur: Up to 5px
Noise: Up to 6% of pixels
Mosaic: Applied

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