Dataset Versions

v9

2024-04-25 8:38am

Generated on Apr 25, 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.
Other Formats
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Dataset Split

Train Set 86%
609Images
Valid Set 8%
60Images
Test Set 5%
37Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 15% of images
Blur: Up to 1px
Noise: Up to 1.88% of pixels
Bounding Box: Blur: Up to 2.5px

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