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Amrita's AI based recognition and analytical application

Citation Author(s):
Srivaishnavi JV (Department of Computer Science and Engineering, Amrita School of Computing, Amrita Vishwa Vidhyapeetham, Coimbatore, India)
Adwaita Sathrukkan (Department of Computer Science and Engineering, Amrita School of Computing, Amrita Vishwa Vidhyapeetham, Coimbatore, India)
Raghul S (Research and Engineering Scientist Zoho Corporation Private Limited, India)
Avadhani Bindu (Department of Computer Science and Engineering, Amrita School of Computing, Amrita Vishwa Vidhyapeetham, Coimbatore, India)
Jeyakumar G (Department of Computer Science and Engineering, Amrita School of Computing, Amrita Vishwa Vidhyapeetham, Coimbatore, India)
Senthil kumar T (Department of Computer Science and Engineering, Amrita School of Computing, Amrita Vishwa Vidhyapeetham, Coimbatore, India)
Submitted by:
Sri Vaishnavi
Last updated:
DOI:
10.21227/r40c-7464
Research Article Link:
No Ratings Yet

Abstract

This dataset comprises 2,052 .jpeg image samples from 74 students, offering a comprehensive portrayal of student life. Capturing academic, extracurricular, and social dimensions, it provides insights into diverse learning environments, activities, and interactions. From classrooms to sports fields, cultural events to social gatherings, the dataset encapsulates the multifaceted nature of student experiences. Researchers can utilize these images to explore educational dynamics, analyze social behaviors, and develop algorithms for image recognition and analysis. With its rich diversity and breadth of content, this dataset serves as a valuable resource for interdisciplinary studies addressing various aspects of student life and well-being.

Instructions:

This dataset comprises 2,052 .jpeg image samples from 74 students, offering a comprehensive portrayal of student life.