Dataset Versions

v5

2024-06-11 9:54am

Generated on Jun 11, 2024

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 84%
5841Images
Valid Set 10%
708Images
Test Set 6%
442Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Saturation: Between -34% and +34%
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Blur: Up to 4.8px
Noise: Up to 1.92% of pixels
Bounding Box: Brightness: Between -5% and +5%
Bounding Box: Exposure: Between -8% and +8%
Bounding Box: Blur: Up to 2.4px
Bounding Box: Noise: Up to 1.92% of pixels

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