Dataset Versions

v16

2024-08-02 3:27am

Generated on Aug 2, 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 89%
210Images
Valid Set 5%
11Images
Test Set 6%
15Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied

Augmentations

Outputs per training example: 3
Brightness: Between -23% and +23%
Blur: Up to 0.6px
Noise: Up to 0.15% of pixels
Bounding Box: Shear: ±10° Horizontal, ±10° Vertical

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