Python executable code for Helmet detection,Jumping Signal using Yolo,RCNN

Job ID: 36399950

Budget: $30 – $250 USD

I am looking for Python executable code for helmet detection and jumping signal using YOLO and RCNN. For this task, I chose to use JPG Images for the image dataset as it is better-suited to the task than PNG or RAW images. For the image classification approach, I chose to use Fast R-CNN due to its superior performance. Additionally, I need to further process the output of the object detection by getting Map and Precision value, making it an important part of the project. I need a programmer who is familiar with YOLO and RCNN and is able to craft reliable and efficient code that meets the needs of this project. Datasets can be obtained from Roboflow
Related categories: Python Deep Learning