Dividing an image into distinct regions based on specified characteristics – that’s how image segmentation works. But why is it important?
The answer is simple: with each pixel being assigned a class label, semantic segmentation is a staple for localizing exactly what matters in real time and get tangible results with it!
Accuracy where it’s due – we precisely define image regions, no matter the complexity of the visual. Whether it’s roads, people, crops, or even defects in industrial settings, semantic segmentation services are essential to deliver quality control, smart agriculture, and geospatial analysis.
Adding another level of precision to AI systems! Instance segmentation goes beyond conventional semantic segmentation methods, identifying each object individually, even within the same class. For instance, instead of labeling all vehicles on a busy street as just “car,” our experts tag each car separately, capturing the full complexity of the scene.
Do you think your data needs more depth? With 3D semantic segmentation companies uncover enhanced spatial understanding, crucial in areas like industrial robotics, autonomous navigation, and AR/VR simulations.
Advanced 3D semantic segmentation and depth-perception techniques enable labeling LiDAR and volumetric data with next-level efficiency. From drone mapping to smart cities, Data Science UA offers reliable support backed by years of applied experience for industries that require spatial understanding.
We don’t stop at just one – our multi-modal setups combine LiDAR, radar, and camera data, for sensor fusion workflows that ensure smooth input synchronization and improved performance across object-recognition, mapping, tracking and classification tasks even in complex environments.
Labeling objects is just the beginning. We fuse object detection and semantic segmentation techniques to enhance operations in logistics, security, and surveillance, further tracking, counting, and analyzing them across timeframes.
Adding nuance to the mix, our experts combine semantic segmentation and instance segmentation to achieve something bigger. Panoptic methods provide a holistic view of both background and foreground, providing users with enhanced understanding of the visual scenes.
Build intelligent systems that you can truly rely on!
It all starts with visual data and we know how to handle it
There are more than you think – semantic image segmentation services bring clarity and ensure accuracy even in the most unexpected fields:
Computer vision semantic segmentation is a must for precision farming, helping professionals monitor plant health, classify crops, and detect diseases timely.
With detailed segmentation artists uncover a new creative space! This technology is what stands behind content-aware fills, selective editing, and object-focused enhancements.
Semantic segmentation models trained on diverse data allow vehicle perception systems to understand surroundings in real time, granting minimal latency and maximum awareness.
This technology makes a big step forward, with organ and lesion segmentation supporting experts in making highly accurate diagnoses in radiology, pathology, and surgical planning tools.
Our AI and ML data annotation services are backed by a range of frameworks and tools for peak precision and efficiency:
With 9+ years of applied experience, our expert team delivers semantic image segmentation services that make a real difference for your project.
By choosing Data Science UA you choose precision and scalability for your solutions. Let’s discuss the business impact our services can bring!
With 9+ years of applied experience, our expert team delivers semantic image segmentation services that make a real difference for your project.
By choosing Data Science UA you choose precision and scalability for your solutions. Let’s discuss the business impact our services can bring!
Accelerating drug discovery with advanced analytics and ML.
Pharmaceutical
Improving safety and speed in financial services.
Fintech
Enhancing workforce well-being and operational success with customized AI solutions.
Manufacturing
AI transforms the chemistry industry with advanced data-driven solutions.
Chemistry
Transforming the shopping experience with innovative data solutions and AI.
Retail &
E-commerce
Revolutionizing renewable energy with cutting-edge technology and data insights.
Green Energy
Gain expert support for your next AI vision project!
Semantic segmentation makes the way from raw visuals to successful projects much shorter
Every step matters when aiming for big results. That’s why we approach our processes with exceptional attention to detail.
Highlighting client needs and defining the exact segmentation scope, required classes, and suitable model types.
Ensuring model readiness with standardized image quality, resolution, and noise removal.
Using semantic segmentation deep learning models adapted to specific dataset and business goals.
Selecting annotation tools, communication channels, and version control systems that would make a perfect match.
Incorporating expert feedback from the client’s team into iterative updates.
Evaluating model outputs, annotation quality, and business KPIs for ultimate post-delivery support.
Explore how semantic segmentation services improved efficiency, safety, and innovation across real-world projects.
Enabled fast, accurate detection and escalation of non-compliant procedures, reducing human oversight burden by deploying a real-time sterility monitoring system.
Developed ML for OTT screen classification and TV channel recommendations, and empowered engineers to work with minimal supervision.
Achieved a 70% reduction in time spent on supply chain operations with low-latency OCR optimized for edge devices. Eliminated manual entry errors with a dual-validation mechanism.
High quality, authority, responsibility.
Thorough approach, attentiveness to details and requirements, high speed of search, and quality of the candidates. During our collaboration, we’ve widened our DS team with 5 new employees with the company’s active assistance.
We think that they have the best pool of AI talents in Ukraine.
Data Science UA helped us to attract highly qualified talents. We ask for help in closing positions in Machine Learning and AI directions. With the help of this company we hired around 10 AI Specialists.
Their recruiting standards are definitely worth mentioning.
Quick feedback and flexibility to meet our point of view. They show a high level of professionalism in their processes and communications. We are happy with the team members their team has found for us.
Thorough approach, attentiveness to details and requirements, high speed of search, and quality of the candidates. Weekly status calls to check the results.
During our collaboration, we've widened our DS team with 5 new employees with the company's active assistance.
Data Science UA helped us to attract highly qualified talents.
We ask for help in closing positions in Machine Learning and AI directions. With the help of this company we hired around 10 AI Specialists.
Quick feedback and flexibility to meet our point of view. They show a high level of professionalism in their processes and communications.
We are happy with the team members their team has found for us.
The essence of semantic segmentation lies assigning a class to each pixel and grouping similar objects together. Instance segmentation, on the other hand, adds object distinction, labeling separate instances within a single class. A simple example: all “trees” versus each “tree” individually. These are two different methods actively utilized in a wide range of use cases.
We make our image labeling workflow universal, putting effort into covering all common image and 3D asset formats including PNG, TIFF, DICOM, JPEG, PCD. Our experts additionally work with annotation formats like JSON and XML.
Yes, and we’re good at it! The Data Science UA team puts applied experience to work with 3D semantic segmentation. This means, we integrate advanced sensor fusion techniques, collecting and processing multi-modal sensor data (radar, camera, LiDAR) to build highly robust perception models.
