Dataset Versions

v15

2023-08-26 8:10pm

Generated on Aug 26, 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 91%
1200Images
Valid Set 7%
90Images
Test Set 2%
29Images

Preprocessing

Resize: Stretch to 640x480
Auto-Adjust Contrast: Using Adaptive Equalization
Filter Null: Require at least 90% of images to contain annotations.

Augmentations

Outputs per training example: 3
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -30% and +30%
Brightness: Between -30% and +30%
Cutout: 10 boxes with 15% size each

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