As we all know we are very close to getting the Autonomous Vehicles on road and for that Traffic Sign Classification is an essential part. It is essential so that the autonomous vehicle can understand the traffic signs properly and take actions accordingly. Photo by Rwds on Dribbble Table of Content Introduction to cAInvas Importing the Dataset …
Photo by Extrafazant on Dribbble The objective of this study is to classify medical images using the Convolutional Neural Network(CNN) Model. Here, I trained a CNN model with a well-processed dataset of medical images. This model can be used to classify medical images based on categories provided as per the training dataset. Implementation is here… About …
Photo by Teodor Hristov for Lobster on Dribbble Harms of Cracks in the Road Most car accidents are caused by drivers making bad decisions, including speeding, failing to yield, and distracted driving. However, some accidents are caused through no fault of the driver. Poor road conditions can lead to accidents injuring drivers, passengers, and pedestrians. Poor road …
Photo by Shreya Damle on Dribbble Breast cancer is the most commonly occurring cancer in women and the second most common cancer overall. There were over 2.3 million new cases in 2020, making it a significant health problem in the present day. The key challenge in breast cancer detection is to classify tumors as malignant or …
Use deep learning to identify three types of rice leaf diseases. Photo by Dafne, Michael Mazourek on Dribbble Classifying plant species or diseases in plants can sometimes be a challenging task for the human eye, especially for people with limited experience in the field. There is little margin for error allowed when it comes to crops …
Photo by Süha Eryaşar on Dribbble The main use of this application is to do sheep detection from the image, which can then be used for many purposes like counting sheep and keeping track of the sheep in the yard. It will help farms to maintain a proper record of there sheep too. So, Lets get …
Photo by Antonius Setiadi K on Dribbble Pedestrian detection is a subfield of object detection and plays an important role in various applications such as intelligent surveillance systems, person tracking, abnormal-scene detection, and intelligent cars. The objective of this study is to design a convolutional neural network model which can classify images as persons or person-like …
Photo by ILLO on Dribbble Classifying different types of flowers based on their images drawn from different datasets. Some classes are very narrow, containing only a particular sub-type of flower (e.g. pink primroses) while other classes contain many sub-types (e.g. wild roses). Task Classification of flowers is a difficult task because there are flowers that look …
Classifying Flower through Sequential-API-Deep Learning Read More »