We blend the power of AI, NLP and ML with the thought process of actual brains of intelligent people to train your machines to make it smarter, faster and more human.

Data Annotation or Data Labelling or Data Tagging is used to generate very large volumes of annotated data of images or data or voice which can be used to train the machines and make them smart and functional with good accuracy levels.

Machine Learning Models need to understand the different kinds of image contents, or what is being spoken in an audio recording, or to understand the kind of text, and many more. Machines will learn from the data being fed to train the models and it will help to improve their learning and to evolve AI models.

Numerous NLP solutions like chatbots, automatic speech recognition, and sentiment analysis programs can improve efficiency and productivity in various businesses around the world. However, none of these amazing technologies would be possible without annotations. 

Image Annotation

Image annotation is the process of associating an entire image, or a section of an image, with an identifier label. Our experts get to work by tagging key objects in images using the annotation method of your choice.

Our services include

• 2D bounding boxes
• Cuboid
• Image Classification
• Image categorisation
• Landmark Annotation
• Polygons Annotation

Text Annotation

Cognegica’s Experienced Annotators help customers generate training data for their own ML methods. Its NLP Text Annotation tool help to create labelled datasets.

Our services includes

1. Text Classification
2. Entity Annotation
3. Entity Linking
4. Sentiment Annotation
5. Linguistic Annotation

Video Annotation

Video annotation plays a major part in training computer vision models. However, breaking a video into minute frames and annotating each with the right metadata is tedious and time-consuming. It’s more challenging than image annotation because of the inherent semantic complexities, volume of data in videos, hundreds of possible classifiers, and data set quality compliances, among other things.

Our Video Annotation Services Includes but not limited to.

1. Object Localisation

2. Object Detection

3. Object Tracking

4. Activity Tracking

Speech Annotation

Audio sound or speech recorded in any format can be made understandable to machines through machine learning. NLP based speech recognition models, need annotated audio to make such sound more comprehensible to applications like a chatbot or virtual assistant devices.

Labelling the audio sound is a crucial task, but it can help machines to process the sound in the audio for raining the AI models need to understand or learn such audio to give the accurate results when used in real-life. For audio labelling and linguistic annotation, Cognegica networks works with well-trained and highly experienced annotators, who can annotate all types of audio files with extra precision.

Subtitling Services

Video and speech are seen growing rapidly. With the OTT players like Amazon prime, Netflix growing rapidly, the need to add subtitles to videos is growing. Subtitles are a great way to ensure that your audio/visual content is not misheard.

Subtitles are the text or captions that appear in video content as a representation of the dialog being spoken, or the commentary in films, games, and television programs. They are usually displayed at the bottom of the screen.

Our Subtitling services includes

1. Spotting

2. Trans-creation

3. Simulation

4. Correction