Dataset Versions

v5

2022-08-01 2:33am

Generated on Jul 31, 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 87%
876Images
Valid Set 8%
82Images
Test Set 5%
46Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1280x960
Modify Classes: 0 remapped, 4 dropped
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -50% and +50%
Brightness: Between -30% and +30%
Blur: Up to 5px
Noise: Up to 5% of pixels

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