Bring garbage classification, underwater garbage/mask garbage/cigarette butt garbage detection and other data sets
AquaTrash Trash Recognition Dataset
Dataset download link: http://suo.nz/2CdMGi
This dataset contains 369 images of junk for deep learning. There are 470 bounding boxes in total. There are 4 categories {(0: glass), (1:paper), (2:metal), (3:plastic)}
Mask garbage detection
Dataset download link: http://suo.nz/2CYpbL
This dataset is an extremely challenging collection of more than 7000 raw Masks images captured and crowdsourced from more than 1200 urban and rural areas, where each image was manually reviewed and verified by computer vision professionals at DC Labs .
Dataset Size: 7000+
Captors: Over 1200+ Crowdsourced Contributors
Resolution: 99% Images HD and above (1920x1080 and above)
Location: Shot in 900+ cities in India
Diversity: Various lighting conditions like daytime , night, different distances, observation points, etc.
Equipment used: mobile phone shooting in 2020-2021 Uses
: mask detection, mask isolation, garbage mask detection, etc.
Cigarette Butts Dataset
Dataset download link: http://suo.nz/2KuC0k
The dataset consists of a set of 2200 synthetically synthesized ground-level images of cigarettes. It is specially designed for training CNN (Convolutional Neural Network).
Notes: Segmented Object Detection COCO format with custom categories. Compositing: Images are automatically composited by custom code, utilizing the Python image library to apply random scale, rotation, brightness, etc. to foreground cutouts Location: Ground and cigarette butts Photos were taken in Austin, Texas Camera: iPhone 8, native pixel resolution 3024 x 4032
Underwater Garbage Detection Dataset
Dataset download link: http://suo.nz/2RkRCH
This data comes from the J-EDI Marine Litter Dataset. The videos that make up this dataset vary widely in quality, depth, objects in the scene, and cameras used. They contain images of many different types of marine debris captured from real-world environments, providing various objects in different states of attenuation, occlusion, and overgrowth. Also, the clarity of the water and the quality of the light vary from video to video. The videos were processed to extract the 5,700 images that make up the dataset, all labeled with bounding boxes on litter instances, biological objects such as plants and animals, and ROVs.
Garbage classification dataset
Dataset download link: http://suo.nz/2YR4Ho
The dataset contains 15,150 images of household waste from 12 different categories; paper, cardboard, bio, metal, plastic, green glass, brown glass, white glass, clothes, shoes, batteries, and trash.
Kaggle Garbage Sorting Image Dataset
Dataset download link: http://suo.nz/36mRLb
The data set is image data, divided into training set 85% (Train) and test set 15% (Test). Among them, O stands for Organic (organic waste), and R stands for Recycle (recyclable)
Domestic Waste Dataset
Dataset download link: http://suo.nz/3dT4PS
About 9000+ unique pictures. This dataset consists of images of common domestic litter objects in India. Images were taken under various lighting conditions, weather, indoor and outdoor conditions. This dataset can be used to make litter/garbage detection models, suggestions for environmentally friendly alternatives, carbon footprint generation, etc.
Garbage Overflow Dataset
Dataset download link: http://suo.nz/2fJocH
SpotGarbage Garbage Recognition Dataset
Dataset download link: http://suo.nz/2nfBho
The Garbage in Images (GINI) dataset is a dataset introduced by SpotGarbage, which contains 2561 images, 956 images contain garbage, and the rest are non-garbage images that are very similar to garbage in terms of various visual attributes.
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