Dataset Versions

v3

2024-03-31 12:37am

Generated on Mar 30, 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 88%
1134Images
Valid Set 8%
109Images
Test Set 4%
53Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Grayscale: Apply to 10% of images
Hue: Between -51° and +51°
Brightness: Between -26% and +26%
Blur: Up to 2.9px
Bounding Box: Shear: ±12° Horizontal, ±14° Vertical
Bounding Box: Noise: Up to 1.49% of pixels

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