Dataset Versions

v6

2024-09-04 8:15am

Generated on Sep 4, 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 82%
10636Images
Valid Set 12%
1546Images
Test Set 7%
859Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 320x240

Augmentations

Outputs per training example: 2
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 5% of images
Brightness: Between -20% and +20%

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