We carefully label every pixel, classifying them into distinct categories – helping AI to identify objects, categories, and instances. We offer instance segmentation, panoptic segmentation, and traditional image segmentation to suit your deep learning models.
Contact us for detailed semantic segmentation
Accuracy, object boundaries, scale variations, occlusions, ambiguous regions, annotation time & cost, and quality control are the hurdles AI and ML companies face when executing semantic segmentation projects.
We at HabileData, provide you reliable instance segmentation semantic segmentation annotation services and that meet your project benchmarks and budgets. We adhere to your specific ontology, ensuring that your training data aligns perfectly with your model’s requirements.
Our expert annotators handle instance segmentation labeling to distinguish individual objects, panoptic segmentation annotation for a comprehensive scene understanding, and precise image segmentation annotation to categorize every pixel accurately.
Outsourcing semantic segmentation projects to us, brings on board a proven semantic segmentation company with a track record of success. We use stringent quality assurance protocols, scalable infrastructure, efficient workflows, and transparent communication to guarantee on-time delivery and quality in computer vision training.
Hire our data annotation specialists »
Enhance your machine learning projects with pixel-perfect annotated images.
Outline and identify each object instance within a scene, enabling models to differentiate and track individual objects.
Combine semantic and instance segmentation for pixel-level object categorization and individual instance identification.
Precisely label each pixel in images to define object classes and boundaries and partitioning images into meaningful categories.
Annotating pre-recorded and live video stream of vehicles provided training data for machine learning models for a California based data analytics company helped managing traffic efficiently.
Read full Case Study »
The food images to be labelled and categorized so that the client could use them as training data for accurate interpretation of visual data through data annotation.
Read full Case Study »
Capture, validate and verify information on upcoming or existing construction projects from multi-lingual and multi-format online publications across Europe and USA.
Read full Case Study »
Object boundaries and semantic labels for optimal model training.
Muti-layered quality checks for accurate and consistent semantic segmentation.
Collaboration tools and regular updates to speed up development work.
Handle custom ontology projects of any size and complexity
Protocols to maintain confidentiality throughout the creation and delivery.
We handle several image types for semantic segmentation, including photos, medical scans, satellite imagery, and more, to support different AI applications.
HabileData delivers high-accuracy semantic segmentation models, with rigorous quality checks and validations to meet and exceed industry standards.
Yes, our infrastructure and team are designed to efficiently manage and execute large-scale semantic segmentation tasks without compromising on quality or turnaround time.
Our pricing is customized based on the project’s scope, complexity, and the level of detail required. We provide tailored quotes to match your specific needs.
Disclaimer: HitechDigital Solutions LLP and HabileData will never ask for money or commission to offer jobs or projects. In the event you are contacted by any person with job offer in our companies, please reach out to us at info@habiledata.com.
