Dataset Versions

v4

2023-07-07 2:25am

Generated on Jul 6, 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.
Other Formats
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Dataset Split

Train Set 88%
120Images
Valid Set 8%
11Images
Test Set 4%
6Images

Preprocessing

Static Crop: 31-64% Horizontal Region, 22-60% Vertical Region
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Saturation: Between -37% and +37%
Brightness: Between -20% and +20%
Exposure: Between -25% and +25%

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