Publication2023
A CNN-based Prediction Model for Age, Gender, and Ethnicity Using Facial Images
- Industry, Innovation and Infrastructure
- Innovation, Science and Technology
The record
- Type
- Publication
- Date
- 1 January 2023
- Level
- National
- Journal
- 2023 14th International Conference on Computing Communication and Networking Technologies Icccnt 2023
- Published
- 1 January 2023
- DOI
- 10.1109/icccnt56998.2023.10306826
- Scopus ID
- 85179843990
- Authors
- 3
- Open access
- No
- Citations
- 2
- International co-authorship
- No
- Co-author countries
- IN
Classification
Every label below carries the reasoning it was assigned on, the confidence band it was assigned in, and what produced it. The rubric is published.
UN Sustainable Development Goals
9.5 Enhance scientific research, upgrade technological capabilities, and increase researchers and R&D spending
Multi-task deep convolutional neural network for simultaneous demographic prediction including age, gender, and ethnicity from facial images with resource efficiency.
- High confidence
- The subject matter is a strong and direct inference from the record type, the funding or organising body, or the programme context, even where the title alone is thin. Example: an ICMR-funded project against SDG 3, on the strength of the agency.
- Judged
- Judged against the published classification rubric, under the rubric and prompt versions recorded with the run that produced it.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Viksit Bharat @2047
vb-3 Innovation, Science and Technology
Derived through the seeded SDG-to-Viksit-Bharat crosswalk from the primary SDG 9 label. Multi-task deep convolutional neural network for simultaneous demographic prediction including age, gender, and ethnicity from facial images with resource efficiency.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Each label above carries the instrument and the version that produced it. How each classification is reached.
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- 1
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Citing this record
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KIIT Deemed to be University. “A CNN-based Prediction Model for Age, Gender, and Ethnicity Using Facial Images”. Kortex.