Dataset Versions

v2

2024-05-30 3:27pm

Generated on May 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%
3150Images
Valid Set 8%
300Images
Test Set 4%
150Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Grayscale: Apply to 15% of images
Hue: Between -53° and +53°
Brightness: Between -24% and +24%
Blur: Up to 1.8px
Noise: Up to 1.01% of pixels

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