Dataset Versions

v8

2024-01-09 2:01pm

Generated on Jan 9, 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 88%
1167Images
Valid Set 8%
110Images
Test Set 4%
56Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 19% Maximum Zoom
Shear: ±18° Horizontal, ±19° Vertical
Grayscale: Apply to 41% of images
Hue: Between -108° and +108°
Blur: Up to 2.6px
Mosaic: Applied

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