Dataset Versions

v4

2023-04-13 3:49pm

Generated on Apr 13, 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 82%
4992Images
Valid Set 8%
516Images
Test Set 10%
611Images

Preprocessing

Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 960x540

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Saturation: Between -5% and +5%
Blur: Up to 1px
Bounding Box: Crop: 7% Minimum Zoom, 11% Maximum Zoom

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