Dataset Versions

v9

Augmentasi 960

Generated on Apr 16, 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.
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Dataset Split

Train Set 87%
1275Images
Valid Set 4%
62Images
Test Set 8%
124Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 960x540

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 10% Maximum Zoom
Brightness: Between -10% and +10%
Blur: Up to 1px

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