gmalivenko/awesome-computer-vision-models
A list of popular deep learning models related to classification, segmentation and detection problems
This is a curated list of established deep learning models for analyzing images. It helps you choose the right model by providing key performance metrics like error rates and computational resource needs for common tasks such as identifying objects (classification), outlining shapes (segmentation), and locating specific items (detection). It is useful for anyone working on image analysis projects who needs to compare different model architectures to find the best fit.
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Use this if you are developing or implementing an image analysis system and need to quickly compare the performance characteristics of various pre-existing deep learning models for classification, segmentation, or detection tasks.
Not ideal if you are looking for ready-to-use code implementations or tutorials on how to train and deploy these models.
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May 09, 2021
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