Dataset Versions

v3

2023-07-13 3:14pm

Generated on Jul 13, 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 91%
6330Images
Valid Set 6%
430Images
Test Set 2%
160Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 300x300
Modify Classes: 6 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Rotation: Between -8° and +8°
Shear: ±9° Horizontal, ±9° Vertical
Saturation: Between -34% and +34%
Brightness: Between -7% and +7%
Bounding Box: Rotation: Between -10° and +10°

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