Dataset Versions

v5

2024-06-22 10:01am

Generated on Jun 22, 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 86%
4404Images
Valid Set 8%
424Images
Test Set 6%
300Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 3
Brightness: Between -29% and +29%
Bounding Box: Brightness: Between -15% and +15%
Bounding Box: Exposure: Between -15% and +15%
Bounding Box: Noise: Up to 4.85% of pixels

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