Dataset Versions

v3

2023-09-16 5:44pm

Generated on Sep 16, 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 88%
3117Images
Valid Set 8%
297Images
Test Set 4%
148Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 320x240

Augmentations

Outputs per training example: 3
Saturation: Between -29% and +29%
Brightness: Between -22% and +22%
Exposure: Between -22% and +22%
Blur: Up to 1.5px
Noise: Up to 3% of pixels
Cutout: 3 boxes with 10% size each
Bounding Box: Brightness: Between -25% and +25%
Bounding Box: Exposure: Between -25% and +25%

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