Dataset Versions

v1

2022-09-26 11:31am

Generated on Sep 26, 2022

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%
2565Images
Valid Set 4%
96Images
Test Set %
0Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -5° and +5°
Shear: ±5° Horizontal, ±5° Vertical
Brightness: Between -20% and +20%
Exposure: Between -5% and +5%
Noise: Up to 3% of pixels
Cutout: 3 boxes with 5% size each
Bounding Box: Rotation: Between -3° and +3°
Bounding Box: Shear: ±3° Horizontal, ±3° Vertical