Dataset Versions

v6

2024-05-14 2:15am

Generated on May 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.
Other Formats
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Dataset Split

Train Set 86%
4407Images
Valid Set 9%
448Images
Test Set 5%
257Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Exposure: Between -29% and +29%
Bounding Box: Crop: 0% Minimum Zoom, 21% Maximum Zoom
Bounding Box: Brightness: Between -15% and +15%
Bounding Box: Blur: Up to 2.5px
Bounding Box: Noise: Up to 0.1% of pixels

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