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 services to suit your deep learning models.
Contact us for detailed semantic segmentation
Accuracy, object boundaries, scale variations, occlusions, ambiguous regions, annotation time and cost, and quality control remain persistent hurdles for AI and ML companies executing semantic segmentation projects.
At HabileData, we deliver reliable semantic segmentation annotation services aligned with your project benchmarks and budget expectations. As a trusted data annotation company, we strictly follow your defined ontology, ensuring training datasets align precisely with your model requirements.
Our expert annotators specialize in instance segmentation labeling to distinguish individual objects, panoptic segmentation annotation for complete scene understanding, and high-precision image segmentation annotation to accurately classify every pixel across images and videos. These capabilities strengthen our end-to-end image annotation services for computer vision applications.
By outsourcing semantic segmentation projects to us, you partner with a proven semantic segmentation company backed by robust data annotation services expertise. We combine stringent multi-level quality assurance, scalable infrastructure, optimized workflows, and transparent communication to ensure consistent accuracy, faster turnaround, and dependable training data for high-performance computer vision models.
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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.
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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.
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Capture, validate and verify information on upcoming or existing construction projects from multi-lingual and multi-format online publications across Europe and USA.
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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.
