Dataset Versions

v9

2024-08-30 6:46am

Generated on Aug 30, 2024

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 87%
12922Images
Valid Set 10%
1479Images
Test Set 3%
508Images

Preprocessing

Auto-Orient: Applied
Resize: Fill (with center crop) in 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 2
Grayscale: Apply to 5% of images
Hue: Between -9° and +9°
Saturation: Between -6% and +6%
Brightness: Between -18% and +18%
Blur: Up to 1.2px
Noise: Up to 1.25% of pixels

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