Dataset Versions

v10

2023-04-04 11:20am

Generated on Apr 4, 2023

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%
588Images
Valid Set 8%
55Images
Test Set 5%
34Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Grayscale: Apply to 20% of images
Saturation: Between -29% and +29%
Brightness: Between -30% and +30%
Exposure: Between -25% and +25%
Noise: Up to 2% of pixels
Bounding Box: Blur: Up to 5px

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