Dataset Versions

v4

2022-07-23 9:10pm

Generated on Jul 23, 2022

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%
2613Images
Valid Set 7%
210Images
Test Set 3%
82Images

Preprocessing

Auto-Orient: Applied
Static Crop: 1-70% Horizontal Region, 0-69% Vertical Region
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
Grayscale: Apply to 25% of images
Saturation: Between -60% and +60%
Bounding Box: Crop: 0% Minimum Zoom, 20% Maximum Zoom
Bounding Box: Brightness: Between -29% and +29%

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