configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
dataset_info:
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: 14799255261.307
num_examples: 3647
- name: test
num_bytes: 3009820376
num_examples: 915
download_size: 3002391644
dataset_size: 17809075637.307
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