Dataset Versions

v11

2023-11-17 2:24pm

Generated on Nov 17, 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.
Other Formats
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Dataset Split

Train Set 87%
2619Images
Valid Set 13%
382Images
Test Set %
0Images

Preprocessing

Resize: Stretch to 1378x768
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Rotation: Between -7° and +7°
Grayscale: Apply to 30% of images
Saturation: Between -20% and +20%
Exposure: Between -10% and +10%
Blur: Up to 2px
Bounding Box: Blur: Up to 0.25px

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