Dataset Versions

v1

2024-05-18 1:20am

Generated on May 17, 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 88%
1734Images
Valid Set 8%
165Images
Test Set 4%
82Images

Preprocessing

Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Grayscale: Apply to 30% of images
Noise: Up to 3.03% of pixels
Bounding Box: Shear: ±3° Horizontal, ±3° Vertical

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