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Introduction
Artificial Intelligence (AI), Machine Learning (ML), and Computer Vision technologies are being increasingly leveraged in the sports industry for performance analysis, game strategy development, fan engagement and sports broadcasting. The data of sports needs to be precisely labeled for training and fine-tuning AI models in these applications. Infosearch BPO has been able to deliver large-scale sports annotation services to one of the major sports analytics firms in the USA, Germany, Russia, and Australia.
Infosearch BPO provided the client with a range of sports data annotation services that allowed them to build sophisticated sports analytics platforms to monitor player movements, analyze game data, and provide actionable insights for teams, coaches, broadcasters, and sports organizations.
The background
The client is a sports technology and analytics company that provides AI-powered tools for sports research institutions, sports broadcasters, sports leagues, and sports teams. It focuses on player performance analysis and tracking, match analysis, performance monitoring, and automated sports insights in various sports disciplines such as football, soccer, cricket, tennis, basketball, and rugby.
The client's needs were sports video and image data that needed to be annotated and analyzed with speed and reliability, and with a high degree of accuracy and consistency, in an expanding market for sports analytics solutions globally.
Objectives
The main aims of the project were:
Process
Infosearch BPO adopted a standardized workflow for the annotation process, guaranteeing the effectiveness of the project and quality of the annotations.
Requirement Analysis
The project team worked with the client to identify and discuss the requirements of sport-specific annotation, event definitions, standards for tracking, data formats, and quality standards. For each sport, detailed guidelines for annotation were developed.
The teams were chosen based on their grade level
A special group of annotators and quality analysts were hired for the project. Players were trained in sports terminology, understanding of the game, player identification techniques and how to annotate to the client.
Sports Annotation Activities
The following were the annotation services covered:
Quality Assurance
Three-tiered quality control system was set up:
Data Delivery
Datasets were securely delivered to the annotation according to the project schedules. The client received regular status reports, productivity reports and quality metrics during the engagement.
Fast-Moving Game Scenarios
Sports videos were generally shot with fast movements, intricate interactions, and multiple cuts, necessitating accurate annotations at the frame level.
Multiple Sports Disciplines
Datasets were from different sports with varying rules, game structure and annotation needed.
Occasionally, it is necessary to block a shot.
Players were often hidden behind other players, referees, or camera angles, making it difficult to track and label players accurately.
The amount of video data is very high.
There was a need for efficient workflow management and scalable match footage annotation resources.
This is how you can establish consistency across projects, worldwide.
It was necessary to keep a close check on the quality of the annotations, as they had to be consistent across the various datasets, which came from various countries, sports leagues and broadcasting formats.
Results
The project resulted in substantial benefits for the client and their worldwide customer base:
The successful completion of the project enabled the client to optimize their sports analytics platforms and provide actionable insights that could be used to evaluate the performance of their athletes, analyse matches and create more engaging fan experiences in different countries around the globe.
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