One Day Autonomous Vehicles; Object Detection using SVM and HOG project (Stop sign, Pedestrians, and Road Lanes detection).

Please check the requirements carefully as you read through the four main requirements and their subsections! I have python code to detect traffic signs from images and video, pedestrians, and road lanes. Requirements; I need someone to write me 2500 words ( excluding, figures references, tables, flowcharts, formulas ) document explaining how I used the SVM classifier and HOG extractor via Python coding in my project showing my work in not only writing but also with formulas, figures, flowcharts, and do an analysis review of my code. note: my dataset is 62 images and 3 videos, if you chose to take the project, the work should have the below structure: 1. Methodology; 1 .1 .Critical evaluation and justification of the use of SVM and HOG approach for object detection presented as a table. 1 .2 .Outline object detection for the following relatively; STOP SIGNS, PEDESTRIANS, ROAD LANES using SVM+HOG algorithms (method ) detailing how you achieved the practical outcome using this method. 1 .3 . State the issue being solved here ( detection of objects) as a question to answer through the work done using the SVM+HOG approach. 2. Results; should include comparisons, figures, tables, and screenshots from Python showing the detection, and classification process for each of the following; STOP SIGNS DETECTION, PEDESTRIANS DETECTION, ROAD LANES DETECTION. 3. Discussion, 4. conclusion