Dataset Versions

v2

2022-04-19 6:20am_Manually_Annotated_Everything

Generated on Apr 18, 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.
Other Formats
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Dataset Split

Train Set 88%
1470Images
Valid Set 8%
139Images
Test Set 4%
71Images

Preprocessing

Auto-Orient: Applied
Auto-Adjust Contrast: Using Adaptive Equalization
Modify Classes: 0 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -25% and +25%
Noise: Up to 3% of pixels
Mosaic: Applied
Bounding Box: Flip: Horizontal
Bounding Box: Brightness: Between -25% and +25%

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