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Thursday September 11, 2025 11:30am - 11:55am PDT
Apurva Godghase, Brambles, Senior Computer Vision Engineer

In Industrial IoT for Supply chain, and logistics, massive amounts of data is generated by edge devices that capture data continuously. For embedded vision systems, managing the sheer volume of images and metadata can be challenging. Selecting a diverse subset of high-quality data is crucial for effective modeling and analysis. This work outlines a comprehensive method for selecting relevant images from an extensive dataset to build a high-quality image database for building and monitoring computer vision and machine learning models. This systematic approach not only enhances the efficiency of data management in industrial IoT applications but also improves the generalizability and accuracy of Computer Vision learning models. 
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avatar for Apurva Godghase

Apurva Godghase

Senior Computer Vision Engineer, Brambles
Apurva is a Senior Computer Vision Engineer at Brambles, with over seven years of R&D experience across diverse industrial domains. At Brambles, she specializes in designing and deploying cutting-edge machine learning and computer vision IoT prototypes to enhance supply chain efficiencies... Read More →
Thursday September 11, 2025 11:30am - 11:55am PDT
VIRTUAL DataWeek -- Main Stage

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