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  Hello,  that's how I applied my deep Learning skills to my electronics industry  application Technical except After iterating through many models we find this model to be giving good accuracy and least loss. we used  #yolo  v5 with 4000 epoch. here us the latest update to the dataset. I have gathered data related to pcb fault detection. I have gathered a huge amount of image data. and I have open sourced it via-Kaggle. feel free to explore it.

 

    First things first, we need  to learn how to identify good data set! .I can make it easy for you  acronyms:                                                                            R-O-C-C-C                                                                                                                        R for reliable.       Like a good friend, good data sources are ...

 Kmeans algorithm is widely used to cluster image i.e grouping the image as per the color.  Kmeans basically use the technique to form a cluster by making decision boundry the code below will help you to get the proper grip on the idea. code import numpy as np import cv2 import matplotlib.pyplot as plt original_image = cv2.imread("/content/sample_data/ocen.png") original_image this few lines is importing essential lib. and uploading the image to see the cluster image of it. img=cv2.cvtColor(original_image,cv2.COLOR_BGR2RGB) #Next, converts the MxNx3 image into a Kx3 matrix where K=MxN and each row is now a vector in the 3-D space of RGB. vectorized = img.reshape(( -1 , 3 )) #We convert the unit8 values to float as it is a requirement of the k-means method of OpenCV. vect...

"insert" and "append" method in list in Python bigginer basically get confused when to use insert and append method in list. heras is the very simple understanding format of  it.   insert: to add some element in the list at certain position. append: to add element in the list. code: append ................................................................................................................... shop=['bread','banana','egg'] shop.append("apple") print(shop) output: ['bread', 'banana', 'egg', 'apple'] ..................................................................... insert: python code: shop.insert(2,"lemmon") shop output: ['bread', 'banana', 'lemmon', 'egg', 'apple']