Dataset Versions

v5

2024-08-30 1:53pm

Generated on Aug 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.
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Dataset Split

Train Set 94%
5173Images
Valid Set 4%
214Images
Test Set 2%
108Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied

Augmentations

Outputs per training example: 7
Grayscale: Apply to 15% of images
Exposure: Between -72% and +72%
Bounding Box: Brightness: Between -63% and +63%

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