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With our expertise in classification and annotation, our team are well-equipped to meet the needs of customers in various industries, and we are proud to contribute to the development of computer vision and artificial intelligence technologies. Our annotators work diligently to ensure that objects in video frames are properly accounted for throughout the entire duration of the video, employing stringent quality assurance protocols to guarantee the accuracy and consistency of our results. Aimproved offer a range of annotation types, including 2D and 3D bounding boxes, polygons, landmark annotation, and semantic segmentation. Our data engineers are committed to delivering solutions that offer the highest levels of accuracy and we continuously strive to find ways to enhance our methodologies.

Our team of specialists provide accuracy and precision when annotating content according to your needs. Our work will meet all of your quality standards

Annotation and Inscription of Metadata

Essentially, Video and Image Annotation assigns data to unlabeled videos and images that can then be used to develop and train algorithms for machine learning. This is vital for the development of Artificial Intelligence. The assigned Metadata we call labels or tags can be applied in different ways such as adding Semantic Meaning to Pixel Data from a video. This ensures that Algorithms will function correctly when performing specific tasks.

Identify named entities in your text to train your NLP

In this information age, it's easy to come across a variety of text that may hold many meanings. News articles, personal emails, tweets and Facebook posts - these all provide us with specific types of entities that can differ in the context they're used within. Take for instance when you read an article about a recent event; if there was another article about what happened years ago it would likely mention new names that may not be familiar which require more advanced software to make sense of.

Custom Multilingual Voice Classification

As voice and speech take more control over customer interactions, it becomes more and more important to identify the different kinds of sounds that machine applications come across. Chatbots, voice assistants, ASR and other speech-dependent solutions are trained with audio classification which involves large groups of annotators listening to the different sounds and assigning them categories depending on what they classify as being based on their nature.

Multilingual text data labeling for NLP models

Your NLP solutions rely heavily on text labeling and annotation to understand the different bits of text. There are many different ways to label text, which is why your application may have very unique requirements for when it comes to having labeled data. Labeling captures all sorts of metadata related to the part of text being processed by the model properly because if they're not, then your program will not be able to function as efficiently as it was designed for.

Multilingual Chatbot Training Data

In recent years, chatbots have become a staple in most industries. They offer quick and automatic solutions to common problems through their conversational nature. In order to provide relevant responses through these conversations, they require knowledge of the subject matter being discussed at hand. However, this intelligence is often gathered from data that was already being used by customer-facing parts of the company.

Committed to Deadlines and Exceeding Expectations

At Aimproved, we dedicate ourselves to improving your experience by listening closely to your needs and providing annotation services that exceed expectations. Our team has been trained in the latest technology for delivering faster, more efficient service with increased accuracy. And since we're here for you 24/7, all year long- whether it's Friday night or Sunday morning- you don't have to worry about deadlines getting missed or conversations missing crucial details. 

Aimproved provides an extensive range of powerful annotation solutions designed specifically for the needs of your specific fields and systems


Lidar Annotation

Intent  Analysis

Bounding Boxes

NER & Entity Classification

Data Extraction & Mining

Panoptic Segmentation

Sentiment & Topic Analysis


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