Dataset Versions

v3

2024-09-03 2:04am

Generated on Sep 3, 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 88%
2703Images
Valid Set 8%
257Images
Test Set 4%
128Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Shear: ±7° Horizontal, ±7° Vertical
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Saturation: Between -17% and +17%
Brightness: Between -15% and +15%
Exposure: Between -4% and +4%
Blur: Up to 1px

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