Dataset Versions

v2

2023-02-22 9:27pm

Generated on Feb 22, 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 90%
2388Images
Valid Set 10%
263Images
Test Set 0%
8Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Brightness: Between -25% and +25%
Exposure: Between -18% and +18%
Noise: Up to 13% of pixels
Bounding Box: Brightness: Between -8% and +8%
Bounding Box: Exposure: Between -8% and +8%
Bounding Box: Blur: Up to 7px

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