Train complex computer vision models with expertly labeled image and video data built for real-world environments and edge-case handling
850+
Full time
employees
25+
Years in
business
99.95%
Data
accuracy
3850+
Happy
clients
ISO
9001:2015
27001:2022
850+
Full time
employees
25+
Years in
business
99.95%
Data
accuracy
3850+
Happy
clients
ISO
9001:2015
27001:2022
Is your AI model falling short in real-world deployment? It might be because the training data doesn’t reflect the complexity of actual operating environments.
As computer vision technology advances beyond basic object detection, the gap between laboratory performance and production reality has become a critical bottleneck for AI success. Ready-to-use datasets and automated annotation tools excel at standard scenarios but fall short when your models encounter edge cases, complex scenes, or domain-specific challenges.
Our image annotation services bridge this gap to train high-performing computer vision models with accuracy and consistency. As a leading image annotation company, Data-Entry-India.com leverages cutting-edge automation tools for efficiency and scalability, while our subject matter experts provide the nuanced understanding that machines can't replicate. Through human-in-the-loop image annotation workflows and multi-stage QA, we ensure that your models perform reliably in production, not just in test environments.
Different industries require computer vision systems to interpret visual data in distinct ways. Our image annotation services are designed to support this diversity through specialized annotation techniques tailored to each use case.
We train your AI systems for precise object detection, even in challenging scenarios such as crowded scenes, partial occlusions, or adverse lighting conditions, with our 2D & 3D image annotation services. We accurately draw rectangular boundaries around key elements in 2D images for rapid object detection, while our 3D annotations provide depth and orientation for a comprehensive understanding of spatial relationships. Whether it’s single-class or multi-class annotation, we ensure consistent labeling across varied angles and occlusions.
We offer image classification services that support both standard taxonomies and fully customized label schemas tailored to your use case. With support for multi-label, hierarchical, and domain-specific classification, we create well-categorized and structured annotated image datasets that power AI solutions for content moderation, medical diagnostics, and product categorization.
Our LiDAR annotation services enable autonomous systems, robots, and geospatial AI to accurately interpret their environment in 3D surroundings. We label point cloud data using 3D cuboids, image segmentation, and sensor fusion techniques to help the computer vision model accurately analyze objects, terrains, and spatial boundaries. Our annotators specialize in labeling images for both dense and sparse point cloud data, ensuring consistency across frames, real-time object tracking, and cross-sensor alignment.
We leverage the semantic segmentation technique for pixel-by-pixel classification of visual elements that share the same object class, such as roads, vegetation, or buildings. Through instance segmentation, we go a step further by identifying and separating each individual object within a shared category, such as labeling multiple cars in a traffic scene. With this detailed pixel-level image tagging, we deliver the precision your models need for complex scene understanding and object recognition in clustered environments.
We mark critical joint positions (such as elbows, knees, and shoulders) and link them with lines to form skeletal frameworks for accurate movement and gesture tracking by computer vision models. Through precise skeletal annotation, our image labeling company supports AI projects that require real-time human pose estimation, gesture control, and motion analysis in sectors such as sports technology, healthcare, and gaming.
Standard rectangular bounding boxes become inadequate when your AI models need to identify irregular objects. To label such objects, our image tagging experts utilize the polygon annotation technique, providing detailed contours with high spatial accuracy. Specializing in handling complex scenarios, like nested or deformed polygons, our experts ensure vertex-by-vertex precision to power AI applications for medical imaging, urban planning, and autonomous driving.
Define linear features with clarity using our line and spline annotation services. We mark straight and curved objects, including road lanes, rail tracks, utility lines, and floor markings, with pixel-level precision. The final annotated image datasets ensure that your computer vision models perform reliably across various use cases, including autonomous vehicles, lane detection, aerial infrastructure inspection, warehouse robot navigation, and civil engineering monitoring.
Our keypoint image annotation services involve marking precise points of interest on objects, humans, or animals (like facial features, fingertips, joint centers). These annotated landmarks enable AI models to interpret spatial relationships, body mechanics, or object deformation for tasks like facial recognition, emotion detection, pose estimation, and quality inspection. Using specialized tools with sub-pixel control and structured keypoint templates, our annotators maintain consistency across frames and subjects, even under occlusions or variations in angle.
We use polyline annotation to label multi-segment paths—such as roads, power lines, or drainage systems—on aerial maps, technical drawings, and geospatial datasets for better route and network mapping. As an image annotation company built for scale and accuracy, we deliver training datasets that reduce model error rates and support AI applications in smart city development, autonomous mobility, land surveying, and energy distribution planning.
Let our experts handle image labeling for machine learning while you focus on innovation!
Request a Quote!We follow an efficient 5-step process for labeling images for machine learning solutions, ensuring seamless scalability, accuracy, and compliance. It involves:
We analyze shared data and understand your annotation guidelines and criteria to meet expectations.
We select an appropriate tool to match your requirements or configure your specified tool for image annotation.
Leveraging automation and subject matter experts, we meticulously label provided image datasets.
Through automated and manual checks, we validate each annotation for contextual accuracy and correctness.
We securely share the annotated dataset with you via FTP servers or encrypted email and make further changes (if required) as per your feedback.
Our image labeling company delivers platform-agnostic expertise, with skilled annotators who are proficient across all prominent annotation tools and can rapidly adapt to any specialized labeling software your team prefers.
Enabling healthcare AI to identify anomalies, assist in treatment planning, and support radiological workflows with HIPAA-compliant and human-guided medical image annotation.
Powering quality control systems to detect defects, monitor production line efficiency, and ensure product consistency by labeling images of industrial machinery.
Supporting precision farming initiatives with crop health monitoring, yield prediction, and pest identification through specialized agricultural image annotation.
Accelerating ADAS (advanced driver assistance system) development by labeling traffic and road images in regular as well as diverse driving scenarios, challenging weather conditions, and rare traffic events.
Transforming property valuation and management through automated damage assessment, space utilization analysis, and virtual property tours by annotating architectural and interior images.
Enhancing visual search accuracy, inventory management, and shelf analytics by providing attribute-rich product annotations tailored to complex retail and eCommerce environments.
Enabling surveillance systems to better detect suspicious behaviors and unusual activities with scenario-specific, carefully annotated camera footage.
Accelerating insurance claim verification, accurate damage estimation, and fraud identification by providing detailed annotations that highlight property conditions and damage patterns.
When it comes to outsourcing image annotation services, AI companies and tech-first enterprises demand precision, compliance, and versatility. As a trusted data annotation service provider, we deliver that through secure, scalable, and human-guided image annotation workflows designed to handle complexity and prepare AI systems for real-world scenarios.
Through strict adherence to HIPAA compliance, NDAs, end-to-end encryption, and ISO 27001-certified IP protection protocols, we meet the stringent security requirements that healthcare, finance, and enterprise AI teams demand.
By strategically utilizing image annotation tools with human oversight, we deliver annotated image datasets 40% faster than industry averages while maintaining high accuracy rates.
Every annotation undergoes independent verification by senior annotators and subject matter experts to avoid single-point-of-failure bias and ensure consistent, reliable ground truth data for AI model training.
Our culturally diverse annotation teams provide nuanced and linguistically accurate labels to train AI models for global markets and multi-region deployments.
We align our team with your preferred schedule and time zone, enabling real-time collaboration, quick feedback integration, and efficient project management.
Our flexible pricing models (project or monthly based) are designed to meet the custom requirements of businesses, ensuring cost-effectiveness and low operational overhead.
"We chose this image labeling company after vetting multiple vendors, and they exceeded expectations. Their annotators understood our medical imaging requirements better than most companies we’ve worked with in the past. Extremely satisfied with the annotated image datasets they have provided!"
"We gave them over 1.2 million product images for labeling, and the results were impressive. Their image labeling team adapted quickly to our evolving taxonomy and delivered clean, structured AI training data across 10 retail categories. This dramatically improved the accuracy of our visual search and automated tagging models."
Ready to accelerate your AI model deployment in real-world settings? Get in touch with our team at info@data-entry-india.com to discuss your project details or request a free quote.
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