CleanVision automatically detects potential issues in image datasets like images that are: blurry, under/over-exposed, (near) duplicates, etc. This data-centric AI package is a quick first step for any computer vision project to find problems in the dataset, which you want to address before applying machine learning. CleanVision is super simple -- run the same couple lines of Python code to audit any image dataset! The quality of machine learning models hinges on the quality of the data used to train them, but it is hard to manually identify all of the low-quality data in a big dataset. CleanVision helps you automatically identify common types of data issues lurking in image datasets. This package currently detects issues in the raw images themselves, making it a useful tool for any computer vision task such as: classification, segmentation, object detection, pose estimation, keypoint detection, generative modeling, etc.
Features
- Clean your data for better Computer Vision
- CleanVision diagnoses many types of issues, but you can also check for only specific issues
- CleanVision automatically detects potential issues in image datasets like images
- This data-centric AI package is a quick first step for any computer vision project to find problems in the dataset
- This package currently detects issues in the raw images themselves
- Useful tool for any computer vision task such as: classification, segmentation, object detection, pose estimation, keypoint detection, etc.
Project Samples
