Paperspace/DataAugmentationForObjectDetection
Data Augmentation For Object Detection
This tool helps machine learning engineers and researchers prepare image datasets for training object detection models. It takes original images with their corresponding object bounding box annotations and generates new, augmented versions of these images and annotations. This process helps improve the robustness and accuracy of the final object detection model.
1,151 stars. No commits in the last 6 months.
Use this if you need to artificially expand your image dataset to train more robust object detection models without collecting more real-world data.
Not ideal if your primary goal is general image processing or enhancement, rather than preparing data specifically for object detection model training.
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Language
Jupyter Notebook
License
MIT
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Last pushed
Apr 14, 2020
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