Dataset Versions

v6

2023-11-28 9:11am

Generated on Nov 28, 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 72%
9141Images
Valid Set 14%
1761Images
Test Set 14%
1726Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Noise: Up to 5% of pixels
Cutout: 3 boxes with 15% size each

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