Dataset Versions

v3

2024-06-22 9:03pm

Generated on Jun 22, 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 90%
6830Images
Valid Set 6%
471Images
Test Set 4%
304Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Filter Null: Require at least 90% of images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal
Brightness: Between -15% and +15%
Exposure: Between -15% and +15%
Cutout: 1 boxes with 10% size each
Mosaic: Applied
Bounding Box: Noise: Up to 2% of pixels

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