Dataset Versions

v14

2023-04-27 9:14am

Generated on Apr 27, 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 89%
417Images
Valid Set %
0Images
Test Set 11%
50Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 422x422
Filter Null: Require at least 90% of images to contain annotations.

Augmentations

Outputs per training example: 3
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 4.75px
Noise: Up to 5% of pixels

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