Published Paper Details:

Detection of if tree is present or not present in the grayscale image. Deep Learning algorithms are designed in such a way that they mimic the function of the human cerebral cortex. These algorithms are representations of deep neural networks i.e., neural networks with many hidden layers. Convolutional neural networks are deep learning algorithms that can train large datasets with millions of parameters, in form of 2D images as input and convolve it with filters to produce the desired outputs. The authors have built an AI/ML model which identifies in a picture, if there exists a tree or not. They have used Python Flask, HTML, CSS and JS. The ad hoc dataset taken includes 1000 images for training and 400 unseen images for testing. The CNN Model offered a high accuracy of 94.25. To make it user friendly they have built a website whose interface gives an option of clicking as well as uploading picture from device media. After uploading the image, the model runs and we get an output in the form of Tree or No Tree. The website was connected to the Model using Flask.