Dataset Versions

v16

2024-03-11 2:06pm

Generated on Mar 11, 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 80%
1419Images
Valid Set 10%
178Images
Test Set 10%
178Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 20% of images
Hue: Between -25° and +25°
Brightness: Between -30% and +30%
Blur: Up to 4.9px
Noise: Up to 1.97% of pixels
Cutout: 3 boxes with 10% size each

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