Dataset Versions

v2

2024-12-10 9:45am

Generated on Dec 10, 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 87%
363Images
Valid Set 8%
34Images
Test Set 4%
18Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Noise: Up to 0.65% of pixels
Bounding Box: Rotation: Between -6° and +6°
Bounding Box: Shear: ±10° Horizontal, ±5° Vertical
Bounding Box: Blur: Up to 0.9px

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