diff --git a/Face_detection_dataset.py b/Face_detection_dataset.py
new file mode 100644
index 0000000..163a8e0
--- /dev/null
+++ b/Face_detection_dataset.py
@@ -0,0 +1,43 @@
+import cv2 #importing OpenCV file
+import os #operation system library
+
+camera = cv2.VideoCapture(0) #accessing the webcam using OpenCV
+
+camera.set(3, 640) #width using for the images
+
+camera.set(4, 480) #Height using for the images 
+
+face_detector = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')  #a provided machine learning algorithm that is used to identify the picture
+
+face_name = input('\n Enter user name: ') #Asking user name
+
+print("\n [INFO] Initializing face capture.") #status message
+
+counter= 0 #countdown the nunber of pictures
+
+while(True):
+	ret,img=camera.read()
+
+	gray_color = cv2.cvtColor(img, cv2.COLOR_BGR2GRY)  #to convert the images to gray color
+
+	faces = face_detector.detectMultiScale(gray_color, 1.3,5) #function used to detect the images
+
+for(x, y, w,h) in faces:
+
+	cv2.rectangle(img, (x,y), (x+w, y+h), (255,0,0),2) #to resize the images
+	counter +=1
+
+	cv2.imwrite("dataset_for_Face_Recognition/User." + str(face_name) + '.' + str(counter) + ".jpg", gray_color[y:y+h,x:x+w]) #save the images to the folder that I already create in my drive (must create your own folder and then update the correct path)
+	cv2.imshow('image', img)
+
+I = cv2.waitkey(100) & 0xff
+if I ==47:
+	break
+elif counter >= 50:
+	break    #taking 50 pictures 
+
+print("\n [INFO] Existing program")
+
+camera.release()
+
+cv2.destroyAllWindows()