Dataset Versions

v12

2024-11-13 7:56pm

Generated on Nov 13, 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.
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Dataset Split

Train Set 76%
927Images
Valid Set 15%
183Images
Test Set 9%
115Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Rotation: Between -11° and +11°
Shear: ±10° Horizontal, ±8° Vertical
Brightness: Between -17% and +17%
Exposure: Between -14% and +14%
Blur: Up to 2.2px
Noise: Up to 1.76% of pixels

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