Dataset Versions

v13

2023-04-07 8:24am

Generated on Apr 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.
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Dataset Split

Train Set 41%
219Images
Valid Set 44%
235Images
Test Set 15%
78Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Resize: Fill (with center crop) in 320x320
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Grayscale: Apply to 100% of images
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical
Bounding Box: Noise: Up to 8% of pixels

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