With the technological advances that happen every day around us, it’s important to know how data labeling can be useful to us. Here, we explain to you what it is and how can you use it, and most importantly: where to get the best free data labeling APIs.
Data labeling is the process in machine learning of recognizing raw data (pictures, text files, videos, etc.) and adding one or more relevant and useful labels to provide context so that a machine learning model may learn from it. Labels, for example, might identify whether a photograph has a bird or an automobile, which words were said in an audio recording, or whether an x-ray shows a tumor. Data labeling is necessary for many applications, including computer vision, natural language processing, and speech recognition.
A correctly annotated dataset that you utilize as the objective standard to train and test a particular model is commonly referred to as “ground truth” in machine learning. Because the quality of your trained model is dependent on the accuracy of your ground truth, it is critical to invest time and money in ensuring extremely accurate data labeling.
Common types of data labeling
- Computer Vision
- Natural Language Processing
- Audio Processing
Best Free Data Labeling APIs
The Website Categorization API examines a website’s content and meta tags using a Machine Learning engine. It also uses Natural Language Processing to classify online material into up to three categories (NLP).
To classify a website, go to www.klazify.com, create an account to acquire an API key, and then paste and submit the URL to be categorized. By doing something as simple as that, you’ll discover everything you can about any brand you’re interested in.
2. Amazon SageMaker Ground Truth
Amazon SageMaker Ground Truth is a cutting-edge automated data labeling solution provided by Amazon. This application provides a fully managed data labeling service that makes it easier to implement datasets for machine learning.
Ground Truth makes it simple to create very accurate training datasets. There is a special built-in procedure that allows you to label your data quickly and accurately. The program supports a variety of labeling output formats, including text, pictures, video, and 3D cloud points.
Labeling capabilities such as automated 3D cuboid snapping, distortion correction in 2D pictures, and auto-segment tools make the labeling process simple and efficient. They significantly reduce the amount of time required to label the dataset.
3. Label Studio
Label Studio is a web application platform that includes a data labeling service as well as data exploration for a variety of data kinds. It is developed with React and MST on the frontend and Python on the backend.
It provides data labeling for every data type imaginable, including text, pictures, video, audio, time series, multi-domain data types, and so forth. The resulting datasets are very accurate and may be simply utilized in machine learning applications. The utility is available in any browser. It is supplied as precompiled js/CSS scripts that are compatible with all browsers. There is also an option to integrate Label Studio UI into your apps.
Also published on Medium.