The withoutbg100 dataset consists of 100 image and alpha matte pairs. These pairs are chosen to represent a wide range of subjects and complexities, specifically crafted to enhance and test the capabilities of image background removal algorithms. The dataset includes images with complex elements such as fur and objects with varying transparency levels, providing a substantial challenge to even advanced matting techniques.
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