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Thursday, September 4
 

11:30am PDT

OPEN Session (DataWeek): Strategies for Image Dataset Curation from High-Volume Industrial IoT data
Thursday September 4, 2025 11:30am - 11:55am PDT
DataWeek -- Main Stage
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. 
Speakers
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 4, 2025 11:30am - 11:55am PDT
DataWeek -- Main Stage
  DataWeek
 
Thursday, September 11
 

11:30am PDT

[Virtual] OPEN Session (DataWeek): Strategies for Image Dataset Curation from High-Volume Industrial IoT data
Thursday September 11, 2025 11:30am - 11:55am PDT
VIRTUAL DataWeek -- Main Stage
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. 
Speakers
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
  DataWeek
 

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