Dataset Versions

v13

2023-01-13 6:37pm

Generated on Jan 13, 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 94%
1614Images
Valid Set 5%
86Images
Test Set 1%
19Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 720x720
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 2
90° Rotate: Clockwise, Upside Down
Rotation: Between -25° and +25°
Exposure: Between -28% and +28%
Blur: Up to 3.25px
Noise: Up to 16% of pixels
Cutout: 5 boxes with 16% size each

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