EVERWIN GLOBAL LANGUAGE
The Leading Globalization Services Provider
TRAINING DATA
Our unique approach to providing you with reliable training data
DEPLOY WORLD-CLASS AI CONFIDENTLY WITH OUR RELIABLE TRAINING DATA
To successfully deploy AI solutions, you need the right training data and a lot of it. Partner with us to access the crowd, platform, and expertise needed to generate world-class, reliable training data at scale.
What is Training Data and Why is it Important?
Training data is labeled data used to teach AI models or machine learning algorithms to make proper decisions.
For example, if you are trying to build a self-driving car model, the training data will include images and videos labeled to identify cars vs. street signs vs. people. If you are creating a customer service chatbot, the data may be different ways to ask "what is my account balance?" both in text and audio, which is then translated to different languages.
Training data is paramount to the success of any AI model or project. Think of it as garbage in, garbage out. If you train a model with poor-quality data, then how can you expect it to perform? You can’t, and it won’t.
You may have the most appropriate algorithm, but if you train your machine on bad data, it will learn the wrong lessons, fail expectations, and not work as you (or your customers) expect. Your success is almost entirely reliant on your data.
WHY EGL ?
Training data isn’t labeled or collected on its own. Human intelligence is required to create and annotate reliable training data. Our high-quality training data is possible thanks to our:
PLATFORM
Our platform collects and labels images, text, speech, audio, video, and sensor data to help you build, train, and continuously improve the most innovative artificial intelligence systems. Use our plug-and-play graphical user interface or our system to easily create and launch your data annotation jobs. In addition to specialized and precise tooling, several of our tools have Smart Labeling capabilities that leverage machine learning to enhance quality, accuracy, and annotation speed.
TYPES OF TRAINING DATA
TEXT
Deploy text-based natural language processing with collected, labeled, and validated data in a wide array of languages.
IMAGES
Add computer vision to your machine learning capabilities by collecting and understanding image classification or leveraging pixel labeling semantic segmentation.
AUDIO
Build interfaces that process audio with data collected as utterances, time-stamped, and categorized across more than 180 languages and dialects.
VIDEO
Combine the best audio and image annotation to process the video and turn it into actionable training data for machine learning. Teach your model to understand video inputs, detect objects, and make decisions.
SENSOR
Leverage even more data points by annotating data coming directly from sensors and enabling machine learning models to make decisions on various data sources, including EGL Cloud Annotation.
