Image Segmentation Service

iMerit delivers image segmentation services that power AI, Machine Learning, and data operation strategies.


Image Segmentation Service
What is Image Segmentation

What is Image Segmentation?

Image segmentation is a branch of computer vision that focuses on the division of a digital image into multiple segments (regions or categories) according to its properties and features. The main purpose of segmentation is to simplify the image and make it more meaningful and easier to analyze. In image segmentation, every pixel in an image is labeled such that pixels with the same label share certain attributes and characteristics.

iMerit’s Image Segmentation Solution

iMerit provides various image segmentation services that cater to a client’s project needs. Common workflows include — semantic segmentation, instance segmentation, and panoptic segmentation. iMerit’s team works with the client to calibrate their quality and throughput requirements and builds custom processes to support client needs.

Semantic Segmentation
Semantic Segmentation

Semantic segmentation helps to train computer vision models that involve taking as input as some raw data like 2D images and assigning a label to every pixel in the image.

Instance Segmentation
Instance Segmentation

Instance segmentation helps to train the machine learning model at the instance level where multiple objects of the same class are assigned as one class but as separate instances.

Panoptic segmentation
Panoptic segmentation

Coupling instance and semantic segmentation, panoptic segmentation helps to identify the pixels in images as belonging to a class and to identify what instances of that class they belong to.

Image Segmentation

iMerit subject matter experts will guide you through the process to develop a customized end-to-end workflow.


Transformative, solution-based approach. Interdisciplinary image segmentation problem solving. Agility and responsiveness, Time-To-Value enhancers.


Targeted resources. Custom skilling. Focused and deep microlearning curriculum. Domain expertise. Rostering tools.


Alignment of image segmentation tools and processes. Structured Development Milestones. Two-step production and QA annotation workflows.


Assessment of deliverable. Appraisal of key metrics, quality control processes. Model reconsideration. Analysis of business outcome.


Assessment of deliverable. Appraisal of key metrics, quality control processes. Model reconsideration. Analysis of business outcome.

Image Segmentation services Case Studies

Image segmentation for leading automobile manufacturers

Image segmentation for leading automobile manufacturers

Client Profile: Leading global automobile manufacturer

Client data type: Street scene images

Challenge: Building a highly accurate dataset to help train algorithms to interpret their environment

Volume: Around 100,000 street images segmented

Outcome: Our team has annotated the elements in the images into predetermined classes of objects, ultimately dividing the image into semantically meaningful parts, to train the machine learning algorithm not just to ‘see’ but also to understand and interpret its environment and accuracy.

Semantic Segmentation for a large AV company

Client Profile: Large autonomous vehicle company

Client data type: 2D street scene images

Challenge: Building a training dataset that precisely identifies the different objects on a road scene for the AV to take real-time decisions and act accordingly when on the road. With more road scenes comes more complexity and more objects that need to be trained to the AV.

Volume: Around 100,000 images segmented

Outcome: The precise segmentation done by us was used in training the AV and then helped them in putting the vehicle in their testing environment. This takes the AV closer towards full autonomy.

Semantic Segmentation for a large AV company


The need for speed in high-quality Image Segmentation has never been greater. iMerit combines the best predictive and automated annotation technology with world-class data annotation and subject matter experts to deliver the data you need to get to production, fast.

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