Transfer Learning for Instance Segmentation of Waste Bottles using Mask R-CNN Algorithm. (arXiv:2204.07437v1 [cs.CV])

This paper proposes a methodological approach with a transfer learning scheme
for plastic waste bottle detection and instance segmentation using the
\textit{mask region proposal convolutional neural network} (Mask R-CNN).
Plastic bottles constitute one of the major pollutants posing a serious threat
to the environment both in oceans and on land. The automated identification and
segregation of bottles can facilitate plastic waste recycling. We prepare a
custom-made dataset of 192 bottle images with pixel-by pixel-polygon annotation
for the automatic segmentation task. …

algorithm arxiv cnn cv learning r-cnn segmentation transfer transfer learning waste