Dataset Versions

v7

2024-06-27 2:36am

Generated on Jun 27, 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 84%
2784Images
Valid Set 11%
352Images
Test Set 6%
192Images

Preprocessing

Tile: 4 rows x 4 columns

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 5% Maximum Zoom
Saturation: Between -36% and +36%
Brightness: Between -44% and +44%
Exposure: Between -14% and +14%
Bounding Box: Brightness: Between -18% and +18%
Bounding Box: Exposure: Between -10% and +10%
Bounding Box: Noise: Up to 0.26% of pixels

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