Dataset Versions

v3

2022-07-05 11:30pm

Generated on Jul 5, 2022

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 76%
5297Images
Valid Set 19%
1345Images
Test Set 5%
339Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416
Modify Classes: 7 remapped, 3 dropped

Augmentations

Outputs per training example: 1
Grayscale: Apply to 25% of images
Brightness: Between -32% and +32%
Blur: Up to 4.5px

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