Dataset Versions

v3

2024-10-10 1:33am

Generated on Oct 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 92%
2133Images
Valid Set 4%
86Images
Test Set 4%
88Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Rotation: Between -19° and +19°
Shear: ±30° Horizontal, ±30° Vertical
Grayscale: Apply to 15% of images
Brightness: Between -21% and +21%
Blur: Up to 3.3px
Noise: Up to 0.97% of pixels