Dataset Versions

v11

2021-12-07 3:20pm

Generated on Dec 7, 2021

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 90%
918Images
Valid Set 7%
70Images
Test Set 3%
30Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Rotation: Between -30° and +30°
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -10% and +10%
Blur: Up to 6.5px
Noise: Up to 2% of pixels

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