egitim Dataset

v3

2024-06-17 10:18am

Generated on Jun 17, 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 92%
18540Images
Valid Set 4%
773Images
Test Set 4%
771Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Saturation: Between -56% and +56%
Brightness: Between -20% and +20%
Blur: Up to 1.2px
Noise: Up to 2.44% of pixels
Bounding Box: Brightness: Between -15% and +15%
Bounding Box: Blur: Up to 2.5px
Bounding Box: Noise: Up to 0.1% of pixels

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