anhtuan85/Data-Augmentation-for-Object-Detection
Data Augmentation For Object Detection using Pytorch and PIL
When training object detection models, this tool helps you automatically create many varied versions of your original image datasets. You input your existing images and their corresponding object bounding box annotations, and it outputs a much larger, diverse dataset of modified images with updated bounding boxes. This is ideal for machine learning engineers and researchers who are building and training computer vision models.
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Use this if you need to expand your image dataset to improve the robustness and accuracy of your object detection models, especially when you have limited original data.
Not ideal if you are looking for a pre-trained object detection model or a tool for annotating your images from scratch.
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Apr 13, 2023
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