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README.md

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<b>Quick Dataset Analysis:</b> In this example, learn how to quickly analyze a dataset for potential issues. Identify duplicates, outliers, dark/bright/blurry images and cluster similar images with only a few lines of code. If you're new, start here.
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<b>Quick Dataset Analysis:</b> In this example, learn how to quickly analyze a dataset for potential issues. Identify duplicates, outliers, dark/bright/blurry images, and cluster similar images with only a few lines of code. If you're new, start here.
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<a href="https://nbviewer.org/github/visual-layer/fastdup/blob/main/examples/quick-dataset-analysis.ipynb">
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## Advanced Features
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The following are advanced functionalities of fastdup. Sign up for free to be an beta tester and get early access at [email protected] .
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The following are advanced functionalities of fastdup which are still in the beta testing phase.
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Sign up for free to be a beta tester and get early access at [email protected] .
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<b>YOLOv5 Object Detection Video Analysis:</b> In this tutorial, learn how to use fastdup with a pretrained yolov5 object detection model to detect and crop from videos. Following that we analyze the cropped objects for issues such as duplicates, near-duplicates, outliers, bright/dark/blurry objects.
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<b>YOLOv5 Object Detection Video Analysis:</b> In this tutorial, learn how to use fastdup with a pre-trained yolov5 object detection model to detect and crop from videos. Following that we analyze the cropped objects for issues such as duplicates, near-duplicates, outliers, bright/dark/blurry objects.
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<a href="https://nbviewer.org/github/visual-layer/fastdup/blob/main/examples/video-yolov5-detection.ipynb">

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