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pro vyhledávání: '"Agnihotri, Apoorv"'
Autor:
White, Jerome, Agrawal, Chandan, Ojha, Anmol, Agnihotri, Apoorv, Sharma, Makkunda, Doshi, Jigar
Publikováno v:
ICLR 2023 workshop on Practical Machine Learning for Developing Countries
This paper presents a dataset of agricultural pest images captured over five years by thousands of small holder farmers and farming extension workers across India. The dataset has been used to support a mobile application that relies on artificial in
Externí odkaz:
http://arxiv.org/abs/2304.00763
Autor:
White, Jerome, Madaan, Pulkit, Shenoy, Nikhil, Agnihotri, Apoorv, Sharma, Makkunda, Doshi, Jigar
Publikováno v:
NeurIPS 2022 workshop on Challenges In Deploying And Monitoring Machine Learning Systems
Building reliable AI decision support systems requires a robust set of data on which to train models; both with respect to quantity and diversity. Obtaining such datasets can be difficult in resource limited settings, or for applications in early sta
Externí odkaz:
http://arxiv.org/abs/2208.06359
Akademický článek
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Publikováno v:
ACM International Conference Proceeding Series; 1/5/2020, p326-327, 2p
