About R o o r a

We are the leading provider of high-quality data labeling services for Machine Learning and Artificial Intelligence. Based in Bangalore, India, we specialize in helping businesses and organizations around the world harness the power of ML and AI. Our skilled workforce consists of expert data analysts, software developers, and quality assurance specialists, who are committed to delivering accurate and efficient data labeling solutions. With our cutting-edge technology and innovative approach, we help our clients save time and resources, while improving the accuracy and effectiveness of their ML and AI applications.

"Annotated Labels are added to sensor data that provide contextual information to autonomous cars. This information helps the cars learn from examples and accurately identify and classify objects in their environment. Autonomous cars use machine learning algorithms to learn from annotated data, becoming more accurate as more annotated data is fed into the algorithm"

What makes R o o r a different?

Our data labeling services for ML/AI provide high-quality annotated data to train and validate your algorithms. Maximize the accuracy and efficiency of your models with Roora's expert team and scalable platform. Trust us to label your data, so you can focus on innovation.

Quality
Experience
Time Promptness
Data Security
Scalability
Customer Support

Annotations Completed

Annotation techniques

Image annotation techniques in AI involve the process of adding metadata or labels to images, to train machine learning algorithms to recognize and classify visual elements. Techniques include bounding boxes, semantic segmentation, and object detection, and are used in applications such as autonomous vehicles, facial recognition, and medical imaging. Accurate and efficient image annotation is crucial for AI systems to achieve high performance and improve human-computer interaction.

Bounding Box
Polygon
Semantic Segmentation
Keypoints

Industries we Serve

R o o r a provides annotation services for machine learning, catering to various industries such as healthcare, automotive, retail, and more. With expertise in image, video, and text annotation, Roora supports use cases such as object detection, sentiment analysis, and OCR. By improving data quality and accuracy, Roora helps businesses enhance their AI models and drive better insights and decisions.

Autonomous Vehicle

In order to navigate obstacles and operate effectively in chaotic real world traffic conditions, computer vision based models must be trained with annotated data that adds information and labels to images and video.

Healthcare

Supplying high-quality medical picture annotation to AI to enable the healthcare sector to better utilize the potential of the technology and ensure the accuracy of therapeutic, diagnostic, and surgical procedures.

Retail

AI in the e-commerce and retail sector is giving consumers a far better shopping experience by adding a whole new dimension to the fashion and e-commerce area.

Agriculture

Labeling for AgriTech is not an easy task, because it requires annotators to develop a very deep expertise in the types of plants they are dealing with.

Insurance

AI in insurance refers to the use of artificial intelligence technology in the insurance industry to automate processes, reduce fraud, improve customer service and enhance risk management.

Sports

Artificial intelligence in sports improves efficiency over time by making fan satisfaction, analysis, highlighting, and refereeing simpler to understand.