RecycleNet
Trash classifier
Develops an attention-based trash classification model using transfer learning and feature learning with attention module for effective waste management.
Attentional Learning of Trash Classification
39 stars
2 watching
10 forks
Language: Python
last commit: almost 4 years ago
Linked from 1 awesome list
attentionrecyclenettrash-classificationtrashnet
Related projects:
Repository | Description | Stars |
---|---|---|
garythung/trashnet | A Torch-based deep learning framework for image classification of trash | 575 |
trashmob-eco/trashmob | A platform to organize groups of people to clean up public spaces and promote community cleanup efforts. | 9 |
pedropro/taco | Provides a toolkit for object detection in images of waste, including annotations and a demo application. | 602 |
wimlds-trojmiasto/detect-waste | AI system for detecting plastic waste in environment | 182 |
keunwoochoi/transfer_learning_music | A repository providing tools and pre-trained models for music classification and regression tasks using transfer learning. | 256 |
babarot/gomi | A utility that provides a trash can-like feature to safely delete files and directories while keeping them recoverable. | 318 |
koichiro11/residual-attention-network | An image classification neural network implementation using attention mechanisms and residual learning | 94 |
reclassnet/reclass.net | A .NET-based port of ReClass with additional features and support for various data types and memory analysis tools. | 1,829 |
tengshaofeng/residualattentionnetwork-pytorch | Implementing a deep learning framework for image classification using Residual Attention Network architecture | 680 |
dinghanshen/swem | A software project that implements word embedding-based models for text classification tasks and provides pre-trained embeddings and evaluation scripts. | 284 |
pistony/residualattentionnetwork | A Gluon implementation of Residual Attention Network for image classification tasks | 107 |
ibm/max-resnet-50 | An image classification model using the ResNet-50 architecture, trained on the ImageNet dataset. | 14 |
huyz1117/bam | An implementation of the Bottleneck Attention Module in TensorFlow using attention mechanism | 12 |
yonghaoxu/rpnet | Matlab implementation of a deep learning-based method for classifying hyperspectral images | 55 |
yeephycho/nasnet-tensorflow | A toolkit for training and deploying a state-of-the-art image classification architecture on TensorFlow | 136 |