What is Data Annotation?

Making the data understandable to machines by labeling using the certain techniques like outlining or shading the text or objects images is basically known as data annotation. The data can be anything from simple text to images or videos and audios available in various formats.

The main motive of data annotation is highlighting the important words, texts or objects using the annotation techniques to make it recognizable to machines or computer vision used for machine learning or artificial intelligence model developments.

Types of Data Annotation

There are different types of data annotation services offered by companies providing machine learning and AI training data. Text Annotation, Image Annotation, Audio Annotation, Video Annotation are the leading types of annotation services you can find in the market. And under each types there are certain annotation techniques like image annotation bounding boxes, cuboid, semantic, polygons and point or polylines are the popular annotation methods.

Types of Data Annotation

Data Annotation for AI and Machine Learning

Apart from few human oriented needs, most of the annotation is done for machine learning and AI data training. Data annotation techniques helps the machines to recognize the actual dimension, shape, size and types of content available on the web based services. Each data has its own format and most of them are understandable to humans but to make such data comprehensible to machines a precise data annotation services is required.

How to Get Annotated Data for Machine Learning or AI?

Developing the machine learning or AI models not only required special skills or knowledge but having a high-quality training data is also important to make such models functional and give the accurate results. Getting the quality training data with right annotation and labeling is difficult, especially if you are looking for free data annotation service.

Cogito is one the well-known companies offers the high-quality machine learning training data with proper annotation and data labeling. It is expert in image annotation and data labeling service for various industries like healthcare, automobiles, retail, agriculture, ecommerce, banking finance and information technology fields with well-diversified clients portfolio.

What is Best Data Labeling Process to Create Training Data for AI?

Data annotation in AI world is one of the most crucial processes to make available the set of training data for machine learning algorithms. And computer vision based AI model needs annotated images to make the various objects recognizable for better understanding of surroundings.

Data annotation process involves from collection of data to labeling, quality check and validation that makes the raw data usable for machine learning training. For supervised machine learning projects, without labeled data, it is not possible to train the AI model.

During the whole process, well trained human power with right tools and techniques, data is annotated as per the requirements and then processed in a highly secured environment to clients. The data is encrypted to make sure it can be safely delver to the clients to avoid any risk. So, right here we will discuss about the data labeling process to step wise facts.

DATA LABELING PROCESS

Collection of Datasets

The first step towards data annotation is understand the problem to provide the precise training data. Hence, collecting the datasets from client is an important aspect. So, the raw data is collected directly from the client in the well-organized format.

Also Read : How to Create Training Data for Machine Learning?

The data is collected through a proper channel to make sure its originality and security. Many business enterprises follow the different routes to send the data for labeling. Sometimes it is supplied in encrypted format and after data annotation it is again sent to client in the secured format.

Labeling of Dataset

After acquiring the data, organizing the labeling process is the next part of data labeling. Actually, for the supervised machine learning labeled data is required, and proper labeling is important to make sure AI model get trained precisely and work in the right manner.

Choosing the right tools and technique is another factor for data labeling. And in image annotation is done to create the training data sets for computer vision based AI model. The quality is also need to be ensured to make sure the model can predict with the accurate results. To consider all these points two points also need to discussed here – how to label data and who will label the data.

How to Label Data: After getting the data set for labeling, the annotation team has to decide the type of annotation applied here, like detecting, classifying and segmentation of the object. Here if client provides the specific tool or software, then annotators use to annotate the images using the same.

Once the data sets are assigned to annotators and instructed what type of annotation and what are the tools will be best suitable to annotate the data.

Who Will Label the Data: Similarly, the next step into data labeling process comes, who will annotate or label the data. Here, two options are available for the AI companies – first organize the in-house data labeling facility which could be easy control for you and might cost less but it can take extraordinary time due to collection and labeling of entire data sets.

The second option is outsource the labeling task to other data annotation companies, who have team of well-trained and experienced annotators to label the data for machine learning with better efficiency and quality. The best part of outsourcing is data has the ability to aggregate quickly. While on the other hand transparency, accuracy and high-cost are the concerning factors with outsourcing services.

Quality Check and Evaluation

After annotating the data, checking the quality is one of the most important factors of data labeling process. Here, qualified annotator manually check the quality of each annotated images to make sure machine learning algorithm get trained with right accuracy.

Also Read : How to Build Training Data for Computer Vision?

Here, the data sets are also evaluated to validate the same, and if there is any correction the data is annotated correctly and finally validated for machine learning training. Here highly experienced, annotators are required to prudently the check the quality of data labeled to make sure AI companies get the best and high-quality datasets at best pricing.

Final Delivery of Annotated Datasets

The last step in data annotation process is after labeling, the data need to be safety delivered to client. Here again the authenticity and privacy of data is ensured till the data is delivered to client. And the mode of delivering the data also depends on the company to company but there should be safe mode to send such data with complete confidentiality and safety.

Data Labeling Process at Cogito

Most of the companies follow the above discussed data labeling process but few companies have more complex or even more sophisticated but secured data annotation process. Cogito is one the companies providing the world-class data labeling solution with next level of accuracy. It is following the international standards for data security and privacy to ensure the originality of AI model.

What are the Current Challenges to Develop the Machine Learning Based AI Robotics?

Robotics is one of the most innovative development of Machine Learning (ML) and Artificial Intelligence (AI). Earlier it was performing the repetitive types of tasks where there no changes in the pattern. But now, thanks to machine learning, the AI robotics are becoming more inelegant with self-decision making capability to perform different types of tasks or action without human intervention.

Continue reading “What are the Current Challenges to Develop the Machine Learning Based AI Robotics?”

Best Data Labeling and Annotation Services for AI and Machine Learning

Cogito is the industry leader in data labeling service and annotation services to provide the training data sets for AI and machine learning model developments. All types of AI and ML services requires the training data for algorithms with next level of accuracy making AI possible into various fields like healthcare, retail and automotive and robotics etc.

Apart from AI and ML training data sets, Cogito is also render the various other services like Data Collection & Classification, Audio Video Transcription and Contact Center Services to wide range of industries with affordable pricing. It is basically involved in image annotation services at large scale with team of well-qualified and trained annotators for different types of projects from different fields to give quality results.

data labeling service provider

Services Offered by Cogito:

  • Visual Search
  • Image Annotation
  • Content Moderation
  • Sentiment Analysis
  • Data Collection
  • Data Classification
  • Search Relevance
  • Audio Transcription
  • Video Transcription
  • OCR Transcription
  • Machine Learning
  • Virtual Assistant
  • ChatBot Training
  • Healthcare Training Data
  • Contact Center Services

The services offered by Cogito is specially for the AI and ML companies in USA, Canada, UK and other countries in Europe and other continents. It is one of the best annotation service provider in the industry and annotating images under the world-class working environment to deliver each project timely while ensuring the customize requirements and budget of the customers.

How to Find Best Image Annotation Company in India?

Image annotation is becoming the need of AI industry to train the machines with large volume of visual data sets. It is a kind of object lebelling in images making recognizable for computer vision that helps machine learning algorithms to understand the similar objects. And there are various types of image annotation techniques applied while doing this job.

Continue reading “How to Find Best Image Annotation Company in India?”