Data Annotation is identifying unstructured data or information in order to help machine learning models learn. We are today in a sea of raw information. The raw data is available in various formats, including text, images, videos, and audio.

Quality data that is properly labeled and labeled is used to assist machine learning models that are supervised in their identification of objects, comprehend the mood, and perform tasks like speech recognition or driving.




Image Annotation

 With Image Annotation, you can quickly and easily add text, lines and shapes over your photos. This is a great way to circle key details in pictures, or mark places on maps so that you remember where you’ve been. Image Annotation is an image annotation software that is simple, fast, and easy to learn. You just have to be aware of how it works to achieve a stunning result.

Read More


Text Annotation

The most commonly used data type is text – according to the 2020 State of AI and Machine Learning report, 70% of companies rely on text. Text annotations include a wide range of annotations like sentiment, intent, and query. Text annotation helps machine learning models understand text data. Common workflows that utilize text annotation include sentiment and intent analysis, part-of-speech tagging, entity recognition, and classification.

Read More


Video Annotation

Human-annotated data is the key to successful machine learning. Humans are simply better than computers at managing subjectivity, understanding intent, and coping with ambiguity. When training a computer vision or pattern recognition solution, humans are needed to identify and annotate specific data, such as outlining all the pixels containing trees or traffic signs in an image.

Read More

audio annotation

Audio Annotation

Audio annotation is the transcription and time-stamping of speech data, including the transcription of specific pronunciation and intonation, along with the identification of language, dialect, and speaker demographics. Every use case is different, and some require a very specific approach: for example, the tagging of aggressive speech indicators and non-speech sounds like glass breaking for use in security and emergency hotline technology applications.

Read More


Polygon Annotation

Drawing precisely with contours in polygon shapes over the products to detect the objects and localization of videos or images.

Semantic Segmentation

It is the process of image annotation by partitioning the images into multiple segments for autonomous vehicles and healthcare.

Landmark Annotation

Plotting a sequence of points correctly to determine the shape of natural objects like facial features, emotions, and expressions

Polylines Annotation

Applied into lane detection on roads for autonomous cars and other vehicles to detect the lane and move in the right direction.

Bounding Box

A popular method of classifying objects in images or videos for retail, robotics, autonomous vehicles, Machine learning needs.

3D Cuboid Annotation

Capture the object in 3D cuboid to get the more in-depth dimension view and build a more comprehensive model for detailed info.


Our Data Annotation service is spread over a wide range of industries working on AI-based or machine learning-based business models. From ecommerce to retail and healthcare, we cover most of them with same level of dedication and quality.


Health Care

Medical Annotation service for machine learning healthcare data and big data healthcare training using semantic segmentation and polygon image annotation for organs segmentation and diseases diagnosis.

Autonomous Vehicle

LeadsPropex’s end-to-end data labeling services paired with its 5,500 full-time data annotation experts deliver high-quality training data that fuels the machine learning models created by engineering, product, and data science teams from leading autonomous vehicle enterprises.


Financial data experts unlock the intelligence contained in unstructured visual, audio, and text data sets to help the world’s leading companies in finance implement machine learning and RPA for increased efficiency.


Anolytics provides 2D or 3D cuboids image annotation services to utilize as a data training in AI robotics developments for identifying the various dimension objects at automated warehouses.


Analytics generates training data sets for AI and machine learning in agriculture and farming. Semantic segmentation and polygons annotations for better farming are the uses cases of artificial intelligence in agriculture.

Autonomous Flying

Analytics provides autonomous flying training data solutions with semantic segmentation for drone mapping and imagery from the top aerial view making the drone training possible with highly accurate training data.


Image annotation for retail creating high-quality data sets to identify all types of objects sold in retail stores. Images and Videos are annotated using bounding boxes or 2D and 3D cuboids for precise object detection.

Satellite Imagery

Analytics provides satellite imagery data sets with annotated images to make the varied objects recognizable from the Aerial view or at sky-level heights where autonomous flying objects fly to monitor various things from the atmosphere.



Get the best-in-class quality services with the highest accuracy level delivering excellence in image annotation through multiple stages of auditing and reviewing of labeled data.


We are certified with SOC 2 TYPE 1 Company for maintaining high standards of data security with privacy while working with our clients to ensure their confidentiality.


Working with hundreds of workforce to annotate pictures as per the demand providing a completely scalable solution with a turnaround time to meet the different clients’ needs.


Image annotation outsourcing to us means our clients get a cost-effective data labeling service helping them to minimize the cost of their project with the best efficiency.



We receive amazing feedback from our customers all of the time, and we have hundreds of positive reviews online. Check out what some of them had to say:

Rashaun Roulhac, RLR Studios

Rashaun Roulhac, Manager

“Murtaza was awesome to work with. He provided me with an awesome list in a timely manner!”

Annkur P A, Co-founder

“Reliable folks, great service. The team is literally ready to help 24×7 and very proactive with any questions we have.”

Steven Martinez, CEO

“Murtaza works quickly and efficiently. Would recommend him to anyone who is looking for lead data.”


24/7 Award Winning Support

We are committed to providing exceptional customer support. All of our email support technicians are highly trained and will be able to assist you with …

120% Money Back Guarantee

If for any reason you are not happy with our work in a week, we pay 100% back plus 20% for all the hassle. Simple for you. Simple for us, just contact us now and get started.


Our founder has been featured on Forbes for his work
Covered by ViralNews in May 2016 when our work went viral.
We were featured on Entrepreneur for our work on UpWork’s pricing policy.
Our data mining hack was featured on TechPanda and was tagged as one of Linkedin biggest bug.

Zoho Address Appending Solution

Free sample data available