Yorai/detr-resnet-50_finetuned_detect-waste
Object Detection
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Updated
•
84
•
1
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End of preview. Expand
in Dataset Viewer.
Dataset Card for detect-waste
Dataset Summary
AI4Good project for detecting waste in environment. www.detectwaste.ml.
Our latest results were published in Waste Management journal in article titled Deep learning-based waste detection in natural and urban environments.
You can find more technical details in our technical report Waste detection in Pomerania: non-profit project for detecting waste in environment.
Did you know that we produce 300 million tons of plastic every year? And only the part of it is properly recycled.
The idea of detect waste project is to use Artificial Intelligence to detect plastic waste in the environment. Our solution is applicable for video and photography. Our goal is to use AI for Good.
Supported Tasks and Leaderboards
Object Detection
Languages
English
Data Fields
https://github.com/wimlds-trojmiasto/detect-waste/tree/main/annotations
Dataset Creation
The images are post processed to remove exif and reorient as required. Some images are labelled without the exif rotation in mind thus they're not rotated at all but have their exif metadata removed
Personal and Sensitive Information
BEWARE This repository had been created by a third-party and is not affiliated in any way with the original detect-waste creators/
Considerations for Using the Data
Licensing Information
https://raw.githubusercontent.com/wimlds-trojmiasto/detect-waste/main/LICENSE
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Homepage: https://github.com/wimlds-trojmiasto/detect-waste
Homepage: https://github.com/wimlds-trojmiasto/detect-waste
Size of the auto-converted Parquet files (First 5GB per split):
8 GB
Number of rows (First 5GB per split):
2,379
Models trained or fine-tuned on Yorai/detect-waste