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metadata
dataset_info:
  config_name: taco-multi
  features:
    - name: image_id
      dtype: int64
    - name: image
      dtype: image
    - name: width
      dtype: int32
    - name: height
      dtype: int32
    - name: objects
      sequence:
        - name: id
          dtype: int64
        - name: area
          dtype: int64
        - name: bbox
          sequence: float32
          length: 4
        - name: category
          dtype:
            class_label:
              names:
                '0': metals_and_plastic
                '1': other
                '2': non_recyclable
                '3': glass
                '4': paper
                '5': bio
                '6': unknown
  splits:
    - name: train
      num_bytes: 1006510
      num_examples: 3647
    - name: test
      num_bytes: 248312
      num_examples: 915
  download_size: 10265127938
  dataset_size: 1254822
language:
  - en
tags:
  - climate
pretty_name: detect-waste
size_categories:
  - 1K<n<10K

Dataset Card for detect-waste

Dataset Description

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