Dataset Versions

v2

2024-07-23 10:09pm

Generated on Jul 23, 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.
Other Formats
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Dataset Split

Train Set 88%
385Images
Valid Set 8%
37Images
Test Set 4%
17Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Require at least 75% of images to contain annotations.

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Shear: ±15° Horizontal, ±15° Vertical
Blur: Up to 3px
Noise: Up to 1.75% of pixels
Cutout: 5 boxes with 27% size each
Mosaic: Applied