Video Annotation Services

Case Study 1

Requirement.

A prominent retail analytics company based in the United Kingdom approached OODE to improve its computer vision algorithms for in-store customer behavior analysis. The company needed accurate video annotations of customer movements, interactions with products, and queue dynamics to enhance the accuracy of its AI models.

Challenges.

The client confronted various challenges including:

• Sourcing a large volume of diverse video data from multiple store locations.
• Ensuring the accuracy and consistency of annotations across different environments and lighting conditions.
• Required a scalable solution to house ongoing data collection and annotation requirements.

Solution.

The experts at OODE worked closely with the client to learn their specific annotation needs and formed a customized annotation strategy. Employing its talented workforce and strong quality control processes, OODE delivered precise and constant video annotations for the client’s various datasets. In addition, OODE deployed a scalable annotation framework to adapt to the client’s ongoing data collection requirements.

Result.

Through outsourcing video annotation services to Offshore Online Data Entry, the retail analytics company attained significant benefits:

• Enhancement in the accuracy of its computer vision algorithms.
• The advanced AI models facilitated the client to get better insights into customer behavior, enhance store layouts, and boost operational capability.
• OODE’s scalable solution also assured that the client could flawlessly consolidate new video data into their analytics platform, encouraging continuous innovation and growth.

Case Study 2

Requirement.

A leading technology startup based in the United Arab Emirates, focusing on autonomous vehicle development necessitated accurate video annotations of traffic scenarios, pedestrian movements, and road conditions to train and validate its AI algorithms for real-world deployment.

Challenges.

The client had certain issues in annotating the bulk volume of complicated video data gathered from different urban and suburban environments. They also faced challenges in guaranteeing precise and dependable labels for training and testing autonomous vehicle systems which requires a rigorous and adaptable annotation method.

Solution.

The professionals at OODE associated with the client build an extensive annotation strategy customized to the particular needs of autonomous vehicle development. Maximizing its seasoned annotation team and top-notch quality assurance processes, OODE offered accurate and comprehensive video annotations for the client’s different datasets. OODE is able to establish a scalable annotation framework to adapt to the client’s varying annotation requirements.

Result.

By outsourcing video annotation services to OODE, the technology startup gained various advantages. They had significant improvements in the accuracy and robustness of their autonomous vehicle algorithms. The optimized AI models facilitated the client to validate the performance of its vehicle systems across various real-world scenarios, contributing to the advancement of safe and reliable autonomous driving technology. OODE’s scalable annotation infrastructure also supported the client’s ongoing data annotation requirements, ensuring seamless integration of new video data into their development pipeline.