Dataset Versions

v4

2024-09-14 5:51pm

Generated on Sep 14, 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.
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Dataset Split

Train Set 87%
504Images
Valid Set 8%
49Images
Test Set 4%
24Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Rotation: Between -20° and +20°
Shear: ±20° Horizontal, ±20° Vertical
Grayscale: Apply to 20% of images
Brightness: Between -30% and +30%

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