Dataset Versions

v1

2024-09-10 4:00pm

Generated on Sep 10, 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 82%
8398Images
Valid Set 12%
1200Images
Test Set 6%
600Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 2
Rotation: Between -2° and +2°
Shear: ±5° Horizontal, ±5° Vertical
Brightness: Between -25% and +25%
Blur: Up to 1.5px
Noise: Up to 0.46% of pixels