garbage-classification 一个智能垃圾分类系统 一、主要功能 对上传的垃圾图片进行识别,并返回分类结果(干垃圾、湿垃圾、有害垃圾、可回收垃圾) 二、实现原理 该垃圾分类项目采用深度学习--图像处理模块,采用的是Sequential 序贯模型,序贯模型是函数式模型的简略版,为最简单的线性、从头到尾的结构顺序,不分叉。Sequential...
Mostafa, M.: Garbage Classification (12 classes). Dataset on Kaggle (2020). https://www.kaggle.com/mostafaabla/garbage-classification Lam, K.N., et al.: Using artificial intelligence and IoT for constructing a smart trash bin. In: Dang, T.K., Küng, J., Chung, T.M., Takizawa, ...
Garbage Classification Data The Garbage Classification Dataset contains 6 classifications: cardboard (393), glass (491), metal (400), paper(584), plastic (472) and trash(127). Example pictures for each category are shown below: 1.cardboard 2.glass 3.metal 4.paper 5.plastic 6.trash 🙌 ...
Because the garbage classification dataset usually contains objects of various shapes and sizes, this structure can help the model better capture and identify these objects. Compared with the traditional convolution operation, the structure introduces a deformable convolution kernel, which can adaptively ...
The experimental result analysis of the DLSODC-GWM technique is examined using the benchmark garbage classification dataset from the Kaggle repository [21]. The dataset contains 393 images under the cardboard class, 491 images under the glass class, 400 images under the metal class, 584 images ...
more_vert Garbage Classification (12 classes) ENHANCED Garbage dataset without duplicates, with corrected labels, and more images ! Data CardCode (2)Discussion (0)Suggestions (0) Discussions notifications_activeFollowingarrow_drop_downaddNew Topic ...
We only use grabage classification dataset as tranining dataset. We also provide Pytorch code for server deployment Data Download password: u94u cd xxx/xxx/NanoCls mkdir data Put your train data into 'data' directory Train python train.py Test python predict.py PyTorch to ONNX python ...
The self-built garbage classification dataset is used for related experiments, and the mAP@50 of the YOLOv5-OCDS model is 5.3% higher than that of the YOLOv5s; the value of mAP@50:95 increases by 12.3%. In the experimental environment of this study, the model'...
This paper is focused on detecting and classification garbage using Deep Learning and Neural Network algorithms. CNN algorithm is used, applied, and analyzed. Confusion matrix and ROC curve are also used. Here in this paper, two different datasets are used, one dataset was available online, and...
To better manage waste resources, minimize environmental pollution, and simplify garbage sorting, this paper presents a method for garbage classification and recognition using a fusion network based on transfer learning. We begin by balancing the dataset through data augmentation and then integrate a pre...