Dataset Versions

v6

2024-07-05 6:27am

Generated on Jul 5, 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.
Other Formats
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Dataset Split

Train Set 96%
180Images
Valid Set 3%
6Images
Test Set 1%
2Images

Preprocessing

Resize: Stretch to 640x640

Augmentations

Outputs per training example: 5
Rotation: Between -15° and +15°
Shear: ±20° Horizontal, ±20° Vertical
Hue: Between -60° and +60°
Saturation: Between -30% and +30%
Exposure: Between -18% and +18%
Noise: Up to 0.5% of pixels
Bounding Box: Crop: 0% Minimum Zoom, 20% Maximum Zoom

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