Dataset Versions

v2

2023-05-21 1:37am

Generated on May 20, 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 96%
960Images
Valid Set 3%
26Images
Test Set 2%
16Images

Preprocessing

Auto-Orient: Applied
Auto-Adjust Contrast: Using Histogram Equalization
Modify Classes: 1 remapped, 0 dropped
Filter Null: Require at least 97% of images to contain annotations.

Augmentations

Outputs per training example: 3
Shear: ±8° Horizontal, ±8° Vertical
Brightness: Between 0% and +8%
Exposure: Between -15% and +15%
Noise: Up to 4% of pixels
Bounding Box: Exposure: Between -20% and +20%

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