【CVAT】How to create multiple jobs in one task?

Written by - Aionlinecourse2645 times views

In the Computer Vision Annotation Tool (CVAT), you can create multiple jobs within a single task by following these steps:

1. Open the CVAT web application and navigate to the task that you want to create jobs for.
2. Click the "Jobs" tab in the task menu on the left side of the screen.
3. Click the "Create" button in the top right corner of the screen.
4. In the "Create Job" dialog that appears, enter a name for the job and select the users who will be responsible for completing the job. You can also set the start and end dates for the job if desired.
5. Click the "Create" button to create the job.
6. Repeat this process to create additional jobs within the same task.

Keep in mind that each job within a task should be a distinct, discrete unit of work, and should be assigned to specific users who are responsible for completing it. This will help ensure that the task is completed efficiently and effectively.

Recommended Projects

Deep Learning Interview Guide

Topic modeling using K-means clustering to group customer reviews

Have you ever thought about the ways one can analyze a review to extract all the misleading or useful information?...

Natural Language Processing
Deep Learning Interview Guide

Automatic Eye Cataract Detection Using YOLOv8

Cataracts are a leading cause of vision impairment worldwide, affecting millions of people every year. Early detection and timely intervention...

Computer Vision
Deep Learning Interview Guide

Medical Image Segmentation With UNET

Have you ever thought about how doctors are so precise in diagnosing any conditions based on medical images? Quite simply,...

Computer Vision
Deep Learning Interview Guide

Build A Book Recommender System With TF-IDF And Clustering(Python)

Have you ever thought about the reasons behind the segregation and recommendation of books with similarities? This project is aimed...

Machine LearningDeep LearningNatural Language Processing
Deep Learning Interview Guide

Build Regression Models in Python for House Price Prediction

Ever wondered how experts predict house prices? This project dives into exactly that! Using Python, we'll build regression models that...

Machine Learning
Deep Learning Interview Guide

Optimizing Chunk Sizes for Efficient and Accurate Document Retrieval Using HyDE Evaluation

This project demonstrates the integration of generative AI techniques with efficient document retrieval by leveraging GPT-4 and vector indexing. It...

Natural Language ProcessingGenerative AI
Deep Learning Interview Guide

Crop Disease Detection Using YOLOv8

In this project, we are utilizing AI for a noble objective, which is crop disease detection. Well, you're here if...

Computer Vision