Dataset Versions

v3

2024-11-15 7-56pm with augmentation

Generated on Nov 15, 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 96%
1350Images
Valid Set 4%
50Images
Test Set %
0Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Blur: Up to 0.7px
Noise: Up to 0.62% of pixels

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