Dataset Versions

v7

2023-08-07 9:10am

Generated on Aug 7, 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%
648Images
Valid Set 8%
61Images
Test Set 4%
31Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Flip: Horizontal
Grayscale: Apply to 96% of images
Saturation: Between -99% and +99%
Blur: Up to 1px
Bounding Box: Flip: Horizontal
Bounding Box: Rotation: Between -5° and +5°
Bounding Box: Brightness: Between -12% and +0%
Bounding Box: Exposure: Between -15% and +15%

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