Dataset Versions

v6

2023-06-19 9:14pm

Generated on Jun 19, 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 93%
1472Images
Valid Set 4%
70Images
Test Set 3%
46Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 24-75% Vertical Region
Resize: Stretch to 640x640
Modify Classes: 0 remapped, 2 dropped

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Saturation: Between -25% and +25%

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