Dataset Versions

v1

2023-03-05 3:21am

Generated on Mar 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 95%
20361Images
Valid Set 3%
622Images
Test Set 2%
389Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 31 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Brightness: Between -30% and +30%
Exposure: Between -27% and +27%
Blur: Up to 10px
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical

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