Dataset Versions

v3

7kimages

Generated on Sep 4, 2022

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%
6018Images
Valid Set 14%
1108Images
Test Set 10%
793Images

Preprocessing

Auto-Orient: Applied
Static Crop: 32-89% Horizontal Region, 25-86% Vertical Region
Resize: Fit within 224x224
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 1
Grayscale: Apply to 25% of images
Noise: Up to 7% of pixels
Bounding Box: Blur: Up to 6px

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