Secure Image Annotation Services to Maximize Your Visual Data

Our philosophy at Label Your Data is simple: quality image annotation services lead to top-performing models. Ready to transform your visual data?

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We Scale Teams for:

ABB – ASEA Brown Boveri
Uipath
Yale
Bizerba
George Washington University
Toptal
Miami University
Hypatos
NEX
ABB – ASEA Brown Boveri
Uipath
Yale
Bizerba
George Washington University
Toptal
Miami University
Hypatos
NEX
ABB – ASEA Brown Boveri
Uipath
Yale
Bizerba
George Washington University
Toptal
Miami University
Hypatos
NEX

Image Annotation Services at Label Your Data

From bounding boxes to key points, we provide top-notch image annotation services tailored to your specific needs. Elevate your images for computer vision tasks with our expert team.

Bounding Boxes
Polygons
Semantic Segmentation
Key Points
Polylines
3D Cuboids
Bounding Boxes

Bounding Boxes

Arguably the most common image annotation method, bounding boxes (or 2D boxes) annotation draws a frame around the target object, allowing its identification and tracking in the images. Our clients often require bounding boxes for the classification of objects in an image.

Polygons

Polygons

A polygon is an outline drawn around the object during the annotation process. It allows the machine to see the shape of the object and learn to recognize similar objects in the images. Polygon annotation is also great at classifying different objects in the annotated images.

Semantic Segmentation

Semantic Segmentation

When you need the machine to identify multiple similar objects in an image, semantic segmentation helps to draw a map that relates each pixel of the image to a certain class of objects. Instance segmentation is used for clearer identification of objects and their classification. These types of image markup are widely used for training self-driving cars.

Key Points

Key Points

Also known as landmark image annotation, key points mark the meaningful points on the natural object to define their shape. Key point annotation is useful in facial and emotional recognition, identification of human poses, and so on.

Polylines

Polylines

Certain tasks require the zoning of the images into meaningful areas. Polylines tell the computer where the lines of the division are. They can also be referred to as lines splines or line image annotation and usually used to draw the road lanes for autonomous vehicles.

3D Cuboids

3D Cuboids

A level-up twist on 2D boxes is 3D cuboids, which is a three-dimensional box around the object used to add depth to the training images for AI and tell the computer how the object is located in space.

Exclusive Benefits of Our Image Annotation Services

Optimize your visual data with our secure and customized image annotation techniques. We have several compelling benefits to offer:

Pixel-level accuracy & transparency

Pixel-level accuracy & transparency

Experience the pinnacle of image annotation outsourcing quality with Label Your Data. Our team delivers high-precision, secure annotations while granting full client access to our tool, ensuring total quality control and transparency every step of the way.

Custom output formats

Custom output formats

At Label Your Data, we offer a wide range of output formats to choose from, including custom options designed specifically to fit your requirements. While we do provide standard formats like JSON, XML, and masks, our tech team is ready to support in creating custom output files for the client.

Cloud storage integration

Cloud storage integration

Efficient data exchange is part of a great image labeling service. We provide seamless integration options such as API, S3, and other cloud storage solutions to ensure smooth data transfers. Our team is well-versed in integrating with various cloud storage providers to ensure top-tier picture annotation.

How We Handle Your Image Data

Label Your Data is an image annotation services provider that employs a meticulous methodology to ensure a thorough labeling process:

Data collection

Data collection

Data collection usually happens on the client’s side. But if you don’t supply any data, our team performs data collection at your request. You determine the type of data to gather, the volume, and the method for acquiring it.

Project requirements

Project requirements

At this stage, we coordinate with you the key project details. Together, we decide on the process, policies, data labeling criteria, and annotation tools to create a complete image dataset.

Pilot

Pilot

As we receive the first batch of data, our annotators run a small annotation sample to verify all the edge cases with you. A free pilot helps you decide whether our image annotation service can satisfy your demands.

Full-scale video annotation

Full-scale video annotation

Once the pilot is done and the results are satisfactory, we proceed to full-scale annotation by assigning a dedicated team to the project. On request, we can set up on-site teams and provide the option of working in the office. We perform image annotation in batches, allowing you to track progress.

Quality assurance

Quality assurance

Before sending the completed annotations, we ensure their quality and validity. To ensure the number of mistakes is negligible, Label Your Data delivers a thorough QA

Why Choose Label Your Data?

Our 10+ years of experience in building remote teams allows us to expertly navigate 500+ data annotators and provide high-quality image annotation services in 55 languages. If you choose our image annotation outsourcing services, you choose the winning mix of quality, speed, and security of your video data.

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FAQs

What does an image annotator do?

An image annotator’s primary task is to analyze the content of images and add relevant tags such as object boundaries, semantic labels, and other descriptive attributes, enabling ML algorithms to accurately detect objects within images.

What are the challenges of picture annotation in AI projects?

Picture annotation can be challenging due to factors such as the need for large amounts of high-quality annotated data, the complexity of images, and the subjectivity involved in labeling. These are the factors that an image annotation company usually deals with.

What are some real-world applications of annotated images in computer vision?

Annotated images are used in various sectors such as autonomous vehicles, medical image analysis, and facial recognition, to improve the accuracy of computer vision systems.