Dataset Versions

v9

500

Generated on Sep 8, 2022

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.
Other Formats
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Dataset Split

Train Set 35%
1506Images
Valid Set 12%
502Images
Test Set 54%
2348Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -10° and +10°
Shear: ±15° Horizontal, ±15° Vertical
Blur: Up to 2px
Noise: Up to 1% of pixels

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