Commercial
Outdoor Garbage
A dataset of photos consisting of garbage cans of various capacities and types.
Request a demo- Data annotation The process of identifying objects in photos for training a system to recognize and interpret them
- Computer Vision The ability to recognize and analyze images and videos
- Smart city The use of machine learning for creating Automated and Efficient Urban Development
- Object Detection Identifying and localizing objects in images.
- 5,000+
- photos
CASE DESCRIPTION
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The dataset includes images of trash cans in different times of day and under various weather conditions
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Each image is accompanied by an XML-annotation indicating the labeled types of garbage cans capacities for each image in the dataset.
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Each image has a type of capacity: full, empty, scattered
Application areas of the dataset
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01.
Container Status Monitoring:
Development of systems that can track the fill level of containers in real-time -
02.
Optimization of Waste Collection Routes:
Utilizing data to plan more efficient routes for garbage trucks -
03.
Community Service Management:
Automating management and planning processes for community services -
04.
Data Analysis for Smart Cities:
Integrating with other smart city systems to enhance the quality of life for citizens
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