Dataset Versions

v11

WB_1610_70_20_10

Generated on Mar 13, 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 70%
2064Images
Valid Set 20%
572Images
Test Set 10%
296Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Filter Null: Require at least 92% of images to contain annotations.

Augmentations

Outputs per training example: 3
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 2.5px

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