Dataset Versions

v7

2023-05-23 11:01am

Generated on May 23, 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%
3219Images
Valid Set 12%
525Images
Test Set 12%
509Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Grayscale: Apply to 37% of images
Hue: Between -57° and +57°
Saturation: Between -61% and +61%
Brightness: Between -42% and +42%
Exposure: Between -33% and +33%
Blur: Up to 1.75px

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