Spend more time building Data Pipelines and Machine Learning models
And less time working on creating Training Data and Data sets. Let us take care of all the data labeling, annotation and image classification work.
We perform image collection, annotation, labeling and validation on all of your image data (e.g. invoices, pictures, medical images, receipts and so on).
Our image annotations services range from 2D and 3D bounding boxes to polygons and image categorization. The training data is used as input in your Computer Vision models.
Our workforce builds datasets based on text for all your Natural Language Processing (NLP) projects, whether it is for training a chatbot or for an OCR solution.
We provide Text Classification, Semantic Analysis, Intent Classing, Entity Linking, Linguistic Annotation, Content Moderation and Text Summarization.
At Zentosa, we provide video labeling for projects in Automotive (self-driving vehicles, Driver Safety), Healthcare, Technology, Sports and Agriculture and more.
We do Video Collection, Video Classification, Video Data Analysis; Pose Detection, Action Detection, Sensor Fusion, Sport Analytics.
Teach your Machine Learning models to understand video inputs, detect objects, and make decisions based on our datasets.
We provide audio labeling that enable better and more intelligent Customer Services.
Let us create training data and data sets based on your historical Support calls. The data can be used as input in smart Chatbots that can speak and listen to voices. Your Customer Service can have intelligent 24/7 support.
Zentosa provides annotation from your sensor data. The training data that we build based on sensor data can be used to make decisions from your AI-models.
We are experts at cleaning data and strengthening it for training and data sets.
Zentosa performs actions such as finding and dealing with missing values, eliminating duplicates, correcting inaccuracies, merging data sets, normalizing data, data type conversions and more. Cleaning data is important to ensure that the model that you train gets proper data that is usable and enables your business goals.
Synthetic data is data generated by a computer for different purposes. It is being increasingly more common to use instead of costly data masking or anonymization tools. The synthetic data is fake data that represents and follows the same conditions as real data.
At Zentosa, we understand that data can be sensitive and difficult to transfer. Because of that we are one of the first companies to create synthetic data for our customers. For example we can generate names, home addresses, social security numbers, credit card numbers, IP-adresses, e-mail addresses, occupation and much more. The data can be represented in the way that you prefer (such as invoices, application forms, claims forms, etc.).
The synthetic data that we generate can be used as your initial data set for Machine Learning and AI projects, we then benchmark it with your actual real-data.