Dataset Versions

v2

2023-08-04 5:44am

Generated on Aug 4, 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 76%
4176Images
Valid Set 7%
392Images
Test Set 17%
906Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Grayscale: Apply to 42% of images
Saturation: Between -70% and +70%
Exposure: Between -23% and +23%
Blur: Up to 9px
Noise: Up to 20% of pixels
Bounding Box: Blur: Up to 10px

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