Dataset Versions

v12

2024-05-29 2:20pm

Generated on May 29, 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 97%
3243Images
Valid Set 3%
99Images
Test Set %
0Images

Preprocessing

Resize: Stretch to 640x640
Filter by Tag: 0 required, 1 dropped

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 14% Maximum Zoom
Rotation: Between -45° and +45°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 25% of images
Hue: Between -90° and +90°
Brightness: Between -18% and +18%

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