Accuracy in Object Detection Using Deep Learning Method

EasyChair Preprint no. 9159

Abstract

Accuracy and Precision measurement of an object in complex environment for
mobile robot applications in an important task. In complex environment it is difficult
to identify similar objects, such as chair, table, furniture and other objects available
in the indoor environment. Different methods are available to identify such objects,
but high accuracy and precision is not easily achievable. This paper presents
MobileNet with Vision Transformer for identification of objects in complex
environment. Several experiments have been conducted for indoor environment
where 94.3% accuracy is achieved for indoor environment with the implementation
of MobileNet with Vision Transformer model.

Keyphrases: Accuracy, Measurement, mobile robot, MobileNet, Precision, Vision Transformer

@Booklet{EasyChair:9159,
  author = {Divya Sirala and Kuldeep Singh Nagla},
  title = {Accuracy in Object Detection Using Deep Learning Method},
  howpublished = {EasyChair Preprint no. 9159},

  year = {EasyChair, 2022}}