

& Labeling
Srihsta Technology has labeled, annotated, enriched and segmented over 1 million images and videos that power Computer Vision algorithms. Srishta’s delivery team works with complex edge cases and nuanced taxonomies to give clients an extra advantage.

Pixel-Perfect Labeling for AI Vision in 2026

Computer vision annotation refers to the process of labeling images or video frames to train machine learning models to identify and understand visual data. These annotations guide AI algorithms in interpreting the world - whether it’s recognizing a stop sign or detecting a tumor on an MRI scan.
The process involves tagging objects, people, or boundaries in images so that AI systems can learn from them. Without computer vision annotation, machines would be blind to the nuances of the visual world.
Srishta Technology Computer Vision experts use rectangular box annotation to illustrate objects and train data, enabling algorithms to identify and localize objects during the ML processes.
1.2M+ boxes
Images are segmented into component parts, by the Srishta Technology team and then annotated. Srishta Technology Computer Vision experts detect desired objects within images at the pixel level.
850K+ masks
Srishta Technology teams label images and videos in 360 degree visibility, captured by multi-sensor cameras, in order to build accurate, high-quality, ground truth datasets for use cases including autonomous vehicles.
180K+ frames
Expert annotators plot points on each vertex of the target object. Polygon annotation allows all of the object’s exact edges to be annotated, regardless of shape.
720K+ polygons
Coupling instance and semantic segmentation, Srishta Technology enrichment teams identify the pixels in images as belonging to a class and identify what instances of that class they belong to.
400K+ nanoptic
Unique IDs per object instance
980K+ instances
Frame-by-frame object tracking
320K+ tracks
Pose estimation and facial landmarks
600K+ points
In-house tool with AI pre-labeling, QA layers and team collaboration
Open-source CVAT with enterprise extensions and API access
Seamless import/export with Labelbox workflows
Reduce manual effort by 70% using YOLO, SAM and custom models
On-field QA and validation via iOS/Android apps
Real-time quality metrics, annotator performance and drift detection
Srishta Technology is the top computer vision data labeling company in India, offering comprehensive computer vision annotation services in India for AI and machine learning projects. As the best computer vision data annotation company in India, we provide precise computer vision data labeling services and AI computer vision annotation tailored to diverse industries. Our expertise includes image and video annotation in India, computer vision dataset annotation and computer vision tagging services to enhance model accuracy. We are a trusted computer vision labeling company and CV annotation company, delivering high-quality machine learning data labeling and data annotation for computer vision. With Srishta Technology, businesses can rely on scalable, reliable and professional annotation solutions that power cutting-edge AI applications.
Data annotation projects often involve large volumes of sensitive datasets such as images, videos, text, medical records and business data. Protecting this data is extremely important to maintain confidentiality, integrity and compliance. Srishta Technology follows strict security practices and industry standards to ensure that client data remains safe during the annotation process.
Srishta Technology uses encrypted pipelines and secure storage systems to protect data during transfer and while it is stored on servers. Encryption ensures that unauthorized users cannot access or read the data.
We follow globally recognized data protection regulations such as GDPR, HIPAA and CCPA to ensure proper handling of sensitive and personal datasets.
Only authorized team members can access datasets. Role-based permissions ensure employees only access data required for their tasks while preventing unauthorized access.
All annotators and employees sign strict Non-Disclosure Agreements to protect client information and prevent data leakage.
Our infrastructure includes monitoring systems, audit logs and secure server environments to track and prevent potential threats.
We implement strict privacy policies ensuring sensitive datasets remain confidential during the entire annotation lifecycle.
Annotation work is performed in controlled environments where downloads and external copies are restricted and secure tools are used for labeling.
Srishta Technology regularly conducts data security and privacy training programs for its employees and annotators. These sessions help the team understand data protection, safe data handling practices.
The company performs regular security audits and risk assessments to identify vulnerabilities in systems and processes.
From autonomous vehicles to medical imaging - power your vision AI with gold-standard labeled data.
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