Plastic Object Detection Dataset With a diverse range of items such as milk packets, ketchup pouches, pens, plastic bottles, polythene bags, shampoo bottles and pouches, chips packets, cleaning spray bottles, handwash bottles, and more, this dataset offers rich training material for developing object detection models. Kaggle uses cookies from google to deliver and enhance the quality of its services and to analyze traffic. ok, got it. something went wrong and this page crashed! if the issue persists, it's likely a problem on our side. at kaggle static assets app.js?v=5b39bcb0d9b18427:1:2537628.
Plastic Type Dataset Label Object Detection Dataset By Object Detection This dataset includes pictures of different plastic items that we often use in our daily lives. each picture has boxes drawn around the plastic items, which helps computers recognize these objects in images. List of datasets with any kind of litter, garbage, waste and trash. created during the detectwaste.ml project. today, more than 300 million tons of plastic are produced annually. plastic is everywhere and we constantly use it in our daily life. The goal of this project is to enhance the detection and classification of various types of plastic debris commonly found in marine environments, providing valuable tools for environmental monitoring and research. the dataset consists of 4,511 images, capturing diverse types of plastic materials. These images are manually labeled and segmented according to a hierarchical taxonomy to train and evaluate object detection algorithms. the best way to know taco is to explore our dataset.
Plastic Object Detection Dataset Object Detection Dataset By Object The goal of this project is to enhance the detection and classification of various types of plastic debris commonly found in marine environments, providing valuable tools for environmental monitoring and research. the dataset consists of 4,511 images, capturing diverse types of plastic materials. These images are manually labeled and segmented according to a hierarchical taxonomy to train and evaluate object detection algorithms. the best way to know taco is to explore our dataset. Thankfully, there is an abundance of high quality datasets for litter detection and classification. a complete list of those datasets can be found under this github repository [7]. High quality plastic images with classification labels, curated specifically for computer vision and deep learning. use this dataset to train and evaluate image classification models in pytorch, tensorflow, keras or any other ml ai framework. Bepli dataset v2 is an updated beach plastic litter dataset (japan) providing images and annotations for 13 object classes. it contains 3,722 images and 118,572 annotations. The dataset contains 7 hyperspectral cubes related to paper "plastic litter detection in the environment by hyperspectral aerial remote sensing and machine learning" by m. balsi, m. moroni, s. bouchelaghem, submitted in february 2025 to remote sensing.
Plastic Object Detection Dataset Kaggle Thankfully, there is an abundance of high quality datasets for litter detection and classification. a complete list of those datasets can be found under this github repository [7]. High quality plastic images with classification labels, curated specifically for computer vision and deep learning. use this dataset to train and evaluate image classification models in pytorch, tensorflow, keras or any other ml ai framework. Bepli dataset v2 is an updated beach plastic litter dataset (japan) providing images and annotations for 13 object classes. it contains 3,722 images and 118,572 annotations. The dataset contains 7 hyperspectral cubes related to paper "plastic litter detection in the environment by hyperspectral aerial remote sensing and machine learning" by m. balsi, m. moroni, s. bouchelaghem, submitted in february 2025 to remote sensing.
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