Dataset Versions

v4

2024-05-30 4:20pm

Generated on May 30, 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 88%
3336Images
Valid Set 8%
309Images
Test Set 4%
155Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x200
Auto-Adjust Contrast: Using Contrast Stretching
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Saturation: Between -30% and +30%
Brightness: Between -20% and +20%

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