license: mit
tags:
- infinite-dataset-hub
- synthetic
ClassroomCleanup
tags: waste detection, image classification, educational
Note: This is an AI-generated dataset so its content may be inaccurate or false
Dataset Description:
The 'ClassroomCleanup' dataset is designed for the task of automated waste detection within educational settings. This dataset consists of a collection of images captured from various classrooms with different types of waste items present. Each image has been labeled by educators and cleaning staff who have identified and classified the waste materials, making it possible for a machine learning model to train on recognizing and categorizing waste in a classroom environment. The labels represent common types of waste found in classrooms such as paper, plastic, food, and others.
CSV Content Preview:
image_id,labels,image_path
image001,"paper;pencil;marker",/classroom_images/image001.jpg
image002,"plastic bottle;plastic bag;paper",/classroom_images/image002.jpg
image003,"food waste;tissue paper",/classroom_images/image003.jpg
image004,"glass bottle;aluminum can",/classroom_images/image004.jpg
image005,"paper;pencil;glass bottle",/classroom_images/image005.jpg
Source of the data:
The dataset was generated using the Infinite Dataset Hub and microsoft/Phi-3-mini-4k-instruct using the query 'waste detection in classroom using image':
- Dataset Generation Page: https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub?q=waste+detection+in+classroom+using+image&dataset=ClassroomCleanup&tags=waste+detection,+image+classification,+educational
- Model: https://huggingface.co/microsoft/Phi-3-mini-4k-instruct
- More Datasets: https://huggingface.co/datasets?other=infinite-dataset-hub