DenseNet, Inception V4 and MobileNet have been used to classify garbage images based on transfer learning (Aral, 2018). In the previous researches (Xu et al., 2020, Adedeji and Wang, 2019), SVM was adopted to replace the classification layers of MobileNet V2 and ResNet 50. ResNext network...
Our approach is to use computer vision technique to classify the garbage based on its severity. For this we have rated garbage on a scale of 1 to 5 with 5 as cleanest and 1 as the dirtiest. To achieve our aim, we have used Faster-RCNN Inception v2 model, and have procured an ...
However, classification tasks can only classify one object at a time. When there are multiple objects in the image or the background is complex, the classification task does not work well, and often cannot give the specific location of the garbage. The detection task can make up for these ...