Dataset Versions

v5

2024-06-12 4:29am

Generated on Jun 12, 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 82%
9434Images
Valid Set 12%
1352Images
Test Set 6%
667Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 2
Rotation: Between -15° and +15°
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels

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