Smart Object Detection Using Machine Learning in Python

EasyChair Preprint no. 10177

Abstract

Efficient and accurate object detection has

been an important topic in the

advancement of computer vision systems.

With the advent of deep learning

techniques, the accuracy for object

detection has increased drastically. The

project aims to incorporate state-of-the-art

technique for object detection with the

goal of achieving high accuracy with a

real-time performance. The network is

trained on the most challenging publicly

available data-set, on which an object

detection challenge is conducted annually.

The resulting system is fast and accurate,

thus aiding those applications which

require object detection.

Keyphrases: COCO, NumPy, OpenCV, TensorFlow, YOLO

@Booklet{EasyChair:10177,
  author = {Parikshit Jain and Nilesh Wagmode and Gaurav Jalambe and Akanksha Kaldate},
  title = {Smart Object Detection Using Machine Learning in Python},
  howpublished = {EasyChair Preprint no. 10177},

  year = {EasyChair, 2023}}