TreeIDNet: Species Identification through Video Analysis using Detectron2-Based Computer Vision-Reference-Cited by-同舟云学术

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TreeIDNet: Species Identification through Video Analysis using Detectron2-Based Computer Vision

Published:2024-05-24 Issue: Volume:21.13 Page:1-7
ISSN:
Container-title:2024 5th International Conference for Emerging Technology (INCET)
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Author:

Kumar Biresh¹,Sinha Raj Shekhar¹,Burman Ravi Kumar²,Alam Md. Shoaib²,Kumari Anita³,Sah Rahul Deo⁴

Affiliation:

1. Amity University Jharkhand,Amity Institute of Information Technology,Ranchi,Jharkhand,India

2. Jharkhand University of Technology,Computer Science and Engineering,Ranchi,India

3. RKDF University,Ranchi,Jharkhand,India

4. Dr. Shyama Prasad Mukherjee University,Department of Information Technology,Ranchi

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10592862/10592849/10592969.pdf?arnumber=10592969

Reference18 articles.

1. Progress and challenges in sustainable land management initiatives: A global review

2. Comparison of YOLOv8 and Detectron2 on Crowd Counting techniques

3. Machine Learning Applications based on SVM Classification A Review

4. Not that kind of tree: Assessing the potential for decision tree–based plant identification using trait databases

5. A weighted KNN model for identification of medicinal plant species

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