Dataset Versions

v14

2023-06-14 5:22pm

Generated on Jun 14, 2023

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%
426Images
Valid Set 8%
40Images
Test Set 4%
20Images

Preprocessing

No preprocessing steps were applied.

Augmentations

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

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