In 2022, the volume of formally collected electronic waste in China reached 1,952 metric kilo tonnes, which accounted for 16 percent of the overall e-waste generated. In addition to the formal collection, there is an informal waste management sector in China.

The United Kingdom generates on average 1.6 million tons of electronic waste every year. In 2022, this figure stood at 1.65 million tons, a growth of 5.6 percent in comparison to 2018. The UK is one of the largest e-waste producers worldwide. It is estimated that less than one-third of e-waste generated in the UK is formally collected for recycling.

In the financial year 2024, more than **** million metric tons of e-waste was generated in India. The volume was more than doubled in comparison with 2018. E-waste is primarily generated by household items in India, e.g. air conditioners, refrigerators and washing machines.

In 2022, the generation of electronic waste in Mexico stood at 11.8 kilograms per capita, up from 10.3 kilograms in 2018. This added up to a total of 1.5 million metric tons of e-waste, making Mexico one of the largest e-waste producers worldwide.

Overview

The goal of this project was to create a structured dataset which can be used to train computer vision models to detect electronic waste devices, i.e., e-waste or Waste Electrical and Electronic Equipment (WEEE). Due to the often-subjective differences between e-waste and functioning electronic devices, a model trained on this dataset could also be used to detect electronic devices in general. However, it must be noted that for the purposes of e-waste recognition, this dataset does not differentiate between different brands or models of the same type of electronic devices, e.g. smartphones, and it also includes images of damaged equipment.

The structure of this dataset is based on the UNU-KEYS classification Wang et al., 2012, Forti et al., 2018. Each class in this dataset has a tag containing its corresponding UNU-KEY. This dataset structure has the following benefits: 1. It allows the user to easily classify e-waste devices regardless of which e-waste definition their country or organization uses, thanks to the correlation between the UNU-KEYS and other classifications such as the HS-codes or the EU-6 categories, defined in the WEEE directive; 2. It helps dataset contributors focus on adding e-waste devices with higher priority compared to arbitrarily chosen devices. This is because electronic devices in the same UNU-KEY category have similar function, average weight and life-time distribution as well as comparable material composition, both in terms of hazardous substances and valuable materials, and related end-of-life attributes Forti et al., 2018. 3. It gives dataset contributors a clear goal of which electronic devices still need to be added and a clear understanding of their progress in the seemingly endless task of creating an e-waste dataset.

This dataset contains annotated images of e-waste from every UNU-KEY category. According to Forti et al., 2018, there are a total of 54 UNU-KEY e-waste categories.

Description of Classes

At the time of writing, 22. Apr. 2024, the dataset has 19613 annotated images and 77 classes. The dataset has mixed bounding-box and polygon annotations. Each class of the dataset represents one type of electronic device. Different models of the same type of device belong to the same class. For example, different brands of smartphones are labelled as "Smartphone", regardless of their make or model. Many classes can belong to the same UNU-KEY category and therefore have the same tag. For example, the classes "Smartphone" and "Bar-Phone" both belong to the UNU-KEY category "0306 - Mobile Phones". The images in the dataset are anonymized, meaning that no people were annotated and images containing visible faces were removed.

The dataset was almost entirely built by cloning annotated images from the following open-source Roboflow datasets: [1]-[91]. Some of the images in the dataset were acquired from the Wikimedia Commons website. Those images were chosen to have an unrestrictive license, i.e., they belong to the public domain. They were manually annotated and added to the dataset.

Cite This Project

This work was done as part of the PhD of Dimitar Iliev, student at the Faculty of German Engineering and Industrial Management at the Technical University of Sofia, Bulgaria and in collaboration with the Faculty of Computer Science at Otto-von-Guericke-University Magdeburg, Germany.

If you use this dataset in a research paper, please cite it using the following BibTeX: @article{iliev2024EwasteDataset, author = "Iliev, Dimitar and Marinov, Marin and Ortmeier, Frank", title = "A proposal for a new e-waste image dataset based on the unu-keys classification", journal = "XXIII-rd International Symposium on Electrical Apparatus and Technologies SIELA 2024", year = 2024, volume = "23", number = "to appear", pages = {to appear} note = {under submission} }

Contribution Guidelines

Image Collection

1. Choose a specific electronic device type to add to the dataset and find its corresponding UNU-KEY. * The chosen type of device should have a characteristic design which an object detection model can learn. For example, CRT monitors look distinctly different than flat panel monitors and should therefore belong to a different class, regardless that they are both monitors. In contrast, LED monitors and LCD monitors look very similar and are therefore both labelled as Flat-Panel-Monitor in this dataset.
2. Collect images of this type of device. * Take note of the license of those images and their author/s to avoid copyright infringement. * Do not collect images with visible faces to protect personal data and comply w

In 2022, the United Kingdom formally collected less than one-third of the e-waste it generated, amounting to 500 thousand metric tons. In comparison to 2018, this represents a decline of 38 percent. Meanwhile, e-waste generation in the UK grew by more than five pecent in the same period. The UK is one of the largest e-waste producers worldwide.

The Netherlands had a electronic waste recycling rate of ** percent in 2018. The recycling rate of electronic waste, or e-waste, has increased noticeably in the Netherlands over the past decade.

France Municipal Waste Generated: By Type: Electric and Electronic Equipment Waste data was reported at 547.000 Tonne th in 2018. This records an increase from the previous number of 521.000 Tonne th for 2017. France Municipal Waste Generated: By Type: Electric and Electronic Equipment Waste data is updated yearly, averaging 386.000 Tonne th from Dec 2005 (Median) to 2018, with 14 observations. The data reached an all-time high of 547.000 Tonne th in 2018 and a record low of 92.000 Tonne th in 2005. France Municipal Waste Generated: By Type: Electric and Electronic Equipment Waste data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s France – Table FR.OECD.ESG: Environmental: Municipal Waste Generation: OECD Member: Annual.

In 2018, electronic waste handling capacity by licensed companies in China amounted to around 150 million units annually. Among that, televisions accounted for almost half of the handling capacity.

Hungary Municipal Waste Generated: By Type: Electric and Electronic Equipment Waste data was reported at 31.000 Tonne th in 2018. This records an increase from the previous number of 24.000 Tonne th for 2017. Hungary Municipal Waste Generated: By Type: Electric and Electronic Equipment Waste data is updated yearly, averaging 16.500 Tonne th from Dec 2005 (Median) to 2018, with 14 observations. The data reached an all-time high of 31.000 Tonne th in 2018 and a record low of 2.000 Tonne th in 2005. Hungary Municipal Waste Generated: By Type: Electric and Electronic Equipment Waste data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Hungary – Table HU.OECD.ESG: Environmental: Municipal Waste Generation: OECD Member: Annual.

Latvia Municipal Waste Generated: By Type: Electric and Electronic Equipment Waste data was reported at 7.040 Tonne th in 2018. This records an increase from the previous number of 5.090 Tonne th for 2017. Latvia Municipal Waste Generated: By Type: Electric and Electronic Equipment Waste data is updated yearly, averaging 3.120 Tonne th from Dec 2006 (Median) to 2018, with 13 observations. The data reached an all-time high of 7.040 Tonne th in 2018 and a record low of 0.950 Tonne th in 2006. Latvia Municipal Waste Generated: By Type: Electric and Electronic Equipment Waste data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Latvia – Table LV.OECD.ESG: Environmental: Municipal Waste Generation: OECD Member: Annual.

The objective of the Statistics on waste electrical and electronic equipment is to verify the degree of compliance in the Basque Country with the objectives for the assessment of waste electrical and electronic equipment (WEEE) set out in the regulations.

Poland Municipal Waste Generated: By Type: Electric and Electronic Equipment Waste data was reported at 37.000 Tonne th in 2018. This records an increase from the previous number of 19.000 Tonne th for 2017. Poland Municipal Waste Generated: By Type: Electric and Electronic Equipment Waste data is updated yearly, averaging 29.000 Tonne th from Dec 2014 (Median) to 2018, with 5 observations. The data reached an all-time high of 37.000 Tonne th in 2018 and a record low of 19.000 Tonne th in 2017. Poland Municipal Waste Generated: By Type: Electric and Electronic Equipment Waste data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Poland – Table PL.OECD.ESG: Environmental: Municipal Waste Generation: OECD Member: Annual.

As established in Article 3.e of Law 22/2011, of 28 July, on waste and contaminated soil, (BOE: 29/07/2011) is ‘hazardous waste’: waste that has one or more of the hazardous characteristics listed in Annex III, and that which may be approved by the Government in accordance with the provisions of European legislation or international conventions to which Spain is a party, as well as the containers and containers that have contained them.

In 2022, the volume of generated electronic waste in China exceeded ****** metric tonnes. Of those, ** percent were formally collected. As the consumption of electronics increases, so does the waste, and China was the largest e-waste producer worldwide.

The purpose of the waste management annual statistics report for the Helsinki metropolitan area is to present key statistics describing the volume of waste management operations. These include, for example, waste transported from HSY’s customer properties, amount of customers at Sortti Stations, waste received at Ämmässuo, etc. Some of the statistics are for one year only and some from 2013 onwards.

Please note that the calculation methods may vary slightly between the annual statistics reports. The annual statistics reports contain information from the last five years, so statistics from previous years are best available in the latest statistics report. Some of the statistics are for the most recent year only and some include data from a period of three to five years.

Statistics report tables

• 1.1 Waste transported from HSY’s customer properties
• 1.2 Transport contracts by municipality
• 1.3 New joint transport contracts in 2017
• 1.4 Emptying times by type of waste
• 1.5 Amount of loose waste collected from properties
• 1.6 Loose waste collected from properties in 2017
• 1.7 Contractor shares (%) in 2017 (calculated from transport contract fees)
• 2.1 Customer visits at Sortti Stations
• 2.2 Customer visits at Sortti Stations by station
• 2.3 Customer visits at the Kivikko Sortti Station
• 2.4 Customer visits at the Konala Sortti Station
• 2.5 Customer visits at the Munkinmäki Sortti Station
• 2.6 Customer visits at the Ruskeasanta Sortti Station
• 2.7 Customer visits at the Ämmässuo Sortti Station
• 2.8 Mixed waste accepted at Sortti Stations
• 2.9 Mixed waste accepted at Sortti Stations, broken down by recovery distribution
• 2.10 Wood accepted at Sortti Stations
• 2.11 Impregnated wood accepted at Sortti Stations
• 2.12 Garden waste accepted at Sortti Stations
• 2.13 Brushwood accepted at Sortti Stations
• 2.14 Gypsum accepted at Sortti Stations
• 2.15 Cardboard accepted at Sortti Stations
• 2.16 Metal accepted at Sortti Stations
• 2.17 Electric and electronic waste accepted at Sortti Stations
• 2.18 Hazardous waste accepted by the regional services unit
• 2.19 Hazardous waste received from households
• 2.20 Domestic hazardous waste collection points
• 2.21 Amount of waste accepted by touring collection vehicles
• 3.1 Waste volumes received in Ämmässuo by treatment/reception location
• 3.2 Final-disposal waste received in Ämmässuo
• 3.3 Waste disposed of at the Ämmässuo hazardous waste landfill
• 3.4 Waste received at the Ämmässuo biowaste treatment plants
• 3.5 Waste to be processed further received in Ämmässuo
• 3.6 Contaminated soil received in Ämmässuo
• 3.7 Waste stored in Ämmässuo
• 3.8 Landmasses received in Ämmässuo in Ekomo cooperation
• 4.1 Waste-to-energy plant performance
• 4.2 Wood chips delivered for energy production
• 5.1 Seutula closed landfill, collected/utilised landfill gas
• 5.2 Ämmässuo landfill, collected/utilised landfill gas
• 5.3 Biogas produced/utilised at the Ämmässuo biogas facility
• 5.4 Electricity production in Ämmässuo

The waste management annual statistics reports can also be viewed as PDFs (in Finnish): Waste management annual statistics report 2017, Waste management annual statistics report 2018 , Waste management annual statistics report 2019 ja Waste management annual statistics report 2020.

The dataset shows, for 2018, the data relating to the collection of municipal waste according to the classification of the Ministerial Decree of 26 May 2016. Waste is classified, according to its origin, into municipal waste and special waste and, according to its hazardous characteristics, into hazardous and non-hazardous waste. Municipal waste is: * a) Household waste, even bulky, from rooms and places used for residential use; * (b) non-hazardous waste from premises and places used for uses other than those referred to in point (a), which is assimilated to municipal waste in terms of quality and quantity; * (c) waste from road sweeping; * (d) waste of any kind or origin, lying on roads and public areas or on roads and private areas subject to public use or on sea and lake beaches and on the banks of watercourses; * e) Plant waste from green areas, such as gardens, parks and cemetery areas; * f ) Wastes from exhumations and exhumations, as well as other wastes from cemetery activities other than those referred to in points (b), (c) and (e). The EWC fields indicate the encoding of each type of waste according to the European Waste Catalogue (http://www.isprambiente.gov.it/contentfiles/00003800/3891-reports-02-19.pdf/) The 2018 municipal waste production data were processed in accordance with the Ministerial Decree of 26 May 2016 and Regional Executive Decision 6511/2017 and are no longer directly comparable with those of previous years. This dataset has been issued by the Municipality of Milan.

In financial year 2024, around ** percent of all electronic waste generated in India was recycled. It was a huge increase in comparison with 2018. However, it was still lower than the target set by the government. During the same year, there were around **** million metric tons of e-waste generated in the country.

Czech Republic Municipal Waste Generated: By Type: Electric and Electronic Equipment Waste data was reported at 13.100 Tonne th in 2018. This records an increase from the previous number of 10.120 Tonne th for 2017. Czech Republic Municipal Waste Generated: By Type: Electric and Electronic Equipment Waste data is updated yearly, averaging 10.505 Tonne th from Dec 2013 (Median) to 2018, with 6 observations. The data reached an all-time high of 13.100 Tonne th in 2018 and a record low of 10.120 Tonne th in 2017. Czech Republic Municipal Waste Generated: By Type: Electric and Electronic Equipment Waste data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Czech Republic – Table CZ.OECD.ESG: Environmental: Municipal Waste Generation: OECD Member: Annual.

The objective of the Statistics on waste electrical and electronic equipment is to verify the degree of compliance in the Basque Country with the objectives for the assessment of waste electrical and electronic equipment (WEEE) set out in the regulations.