SriRamGovardhanam/wastedata-Mask_RCNN-multiple-classes
predicting more than 2 classes from publicly available image data, for annotation we are using VGG annotator latest version
This helps waste management and recycling operations automatically identify and separate different types of waste items in images. You input images containing various waste materials, and it outputs segmented images highlighting and classifying items like bottles, glass, paper, and general trash. This is useful for anyone involved in waste sorting, environmental monitoring, or automated recycling processes who needs to quickly categorize items in visual data.
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Use this if you need to automatically identify and distinguish between multiple specific waste items in images for sorting or analysis.
Not ideal if your waste classification needs extend beyond bottles, glass, paper, and general trash, or if you require real-time, high-speed sorting without human oversight.
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Last pushed
Jun 19, 2021
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