XuLabel – Free Data Labeling Platform for Artificial Intelligence Education
Edit existing Tags
Supports the most popular description formats, including visJason, Pascal voc, coco, yolo, JSON, XML, CSV and TXT. This means that you can edit existing annotations and even add new ones to your tutorials.
Collaborative Labeling
Share your data sets with colleagues and anyone can help tag them. Annotations and classes remain synchronized in multiple accounts.
No Software to Install
Doctorsays Annotate works directly inside the scanner, which means you can label it on any operating system.
Label from scratch
Once your images have been uploaded to Doctorsays, you can tag the objects you want to detect using the Bounding, polygon, and classification tools.
Annotation Tools
Image Annotate
Powerful Image Annotation Tools to educate your AI Modes
train your pc vision models with our 100% customizable image annotation tool. A unique labeling service that combines custom image labeling tools, a dedicated project manager and a trained workforce for your every note requirement. A platform designed and built with data science teams to provide an annotation solution that follows you at every stage of your computer vision project.
- The annotation service scales your “from scratch” annotation needs to create ground facts
- Simple design and the ability to tag images in between needs
- Tag all your training data
- Collect, classify, annotate and/or copy images to educate the most accurate and inclusive computerized vision models. Our image annotation tools include bounding box, polygon, classification tools. Additional object information can be collected for faster, more flexible, and more accurate image annotations. This toolkit provides everything you need to successfully annotate a wide range of image types with speed and precision.
Bounding Box Labeling Tool
This is the fastest grading technique and is also the most common. Using annotation platforms, employees drag bounding boxes around objects.
- Customize output format
- User interface customization
- Annotation outside the image
Polygon Labeling Tool
This annotation type is very important if developers want to capture irregular or complex shapes.
The announcement makers move around the shape of an object by connecting the small lines at the vertices together. The polygon description supports semantic segmentation methods as it allows each pixel to be divided into classes.
- Annotation by example
- Infinite number of segments
- Points Orderies
- Customize output format
Classification
Get the most out of your classification project, which is usually very easy to see but quickly complicates as the list of classes grows.
Our classification tool makes complex projects manageable because we reduce subjectionism with an intuitive classification interface.
- Dynamic tag list
- Scale classification system
- Hierarchy of labels
- Customizing the User Interface
Sectors Using Data Labeling
Data Labeling for Artificial Intelligence Model Training in Healthcare Industry
Advanced healthcare organizations around the world are trying to semi-automate the process of evaluating medical images, so a trained artificial intelligence can take a reliable guess and the radiologist can spend less time on common cases and focus their attention where a person is most needed.
Manufacturing industry
Manufacturing companies incorporate artificial intelligence technology into workflows to automatically detect manufacturing errors, measure production time, increase worker safety. With data tagged from a security camera, you can create an artificial intelligence model to automatically measure production quality, determine if security measures are being followed, and more.
Data Labeling for Artificial Intelligence Model Training in the Automotive Industry
It is one of the leading Data Labeling services for AI applications with a strong expertise in training AI models for automotive and aerospace industries. Our goal is to tag images in high quality!
Data Labeling for Artificial Intelligence Model Training in Smart Farming Systems
Aerial imaging is rapidly becoming a key element in agriculture. An artificial intelligence trained with tagged data can reliably tell you how your crops are, how the air is, and more by looking at a satellite image, without the need for on-site reviews.
Artificial Intelligence in Smart Agriculture Systems
Data Labeling for Artificial Intelligence Model Training in E-commerce and Retail Industry
It can give your cameras superpowers. Identify which product is which from a single image. Take photos of store shelves and get a percentage of how full they are. Download pictures automatically from social media and determine what’s in fashion. This and more than that.
E-commerce and market sectors use artificial intelligence to improve sales performance and improve operational efficiency. Iwitness works with the best performing players in the market to develop both artificial intelligence tools and provide dedicated data labeling solutions for a truly unique digital customer experience
Data Labeling for Artificial Intelligence Model Training in E-commerce and Retail Industry
Data Labeling for Banks and Public Institutions Artificial Intelligence Model Training
Checking documents manually can cause a waste of time, requiring extra labor and resources. To do this, banks and government agencies using artificial intelligence can increase productivity by a thousand times, but manual actions can still be applied when AI is unsure of a specific document.
Data Labeling for Artificial Intelligence Model Training in the Insurance Industry
Forward-thinking insurance companies use artificial intelligence to automate how to assess damage, and in the past, someone had to manually check the photos. With tagged data, you can train an AI that can automatically assess damage for you. One of our customers in the insurance area continues the business process without any trouble after an internal installation is provided.
Data Labeling for Artificial Intelligence Model Training in the Transportation Industry
Automatically monitor traffic on a road or improve with semi- or full-automatic driving experiences. To make your vehicle more autonomous, identify pedestrians, traffic lights, traffic signs, construction work, pavements and everything else.
Data Labeling for Artificial Intelligence Model Training in the Transportation Industry
