Dataset Versions

v5

2024-01-09 10:54am

Generated on Jan 9, 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 87%
4590Images
Valid Set 8%
444Images
Test Set 4%
219Images

Preprocessing

Resize: Fit within 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -21° and +21°
Shear: ±31° Horizontal, ±31° Vertical
Brightness: Between -31% and +31%
Exposure: Between -29% and +29%
Noise: Up to 9% of pixels
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: Brightness: Between -25% and +25%

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