Dataset Versions

v2

2022-12-17 5:43pm

Generated on Dec 17, 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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5608 Total Images

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Dataset Split

Train Set 95%
5336Images
Valid Set 4%
224Images
Test Set 1%
48Images

Preprocessing

Auto-Orient: Applied
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Tile: 2 rows x 2 columns
Modify Classes: 642 remapped, 0 dropped

Augmentations

Outputs per training example: 2
Rotation: Between -15° and +15°
Cutout: 6 boxes with 10% size each
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Blur: Up to 10px
Bounding Box: Noise: Up to 5% of pixels

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