Dataset Versions

v6

clj_v06

Generated on May 5, 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%
1548Images
Valid Set 8%
146Images
Test Set 5%
81Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Hue: Between -36° and +36°
Saturation: Between -12% and +12%
Exposure: Between -11% and +11%
Cutout: 3 boxes with 12% size each
Bounding Box: Noise: Up to 6% of pixels

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