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In the contemporary landscape of artificial intelligence (AI) and machine learning (ML), data serves as the cornerstone of innovation. Among the various data types, video data has emerged as a particularly valuable asset for training AI models. The capability to process, analyze, and interpret video content has facilitated a wide array of applications, ranging from autonomous vehicles to facial recognition and augmented reality. Companies such as GTS.AI are at the forefront, providing specialized video data collection services. This article explores the importance of video data collection, its

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