TensorFlow step by step object detection CAPTCHA solvert raining part #2

Welcome to the TensorFlow object detection custom captcha solver tutorial second part. In my previous tutorial, I mentioned that in the second tutorial we’ll be collecting training data and training our model. So in this tutorial, I will do step by step TensorFlow object detection model training, which we’ll use to crack CAPTCHA images. At first, we will try to detect not full CAPTCHA at a time, but we will try to find out how many symbols we have in our image and then try to recognize them. So we will begin with our data set, you can repeat my steps if you are doing something similar. At first, I will mention that I will use the same detection method I used in my previous CSGO aimbot tutorial, where I tried to detect enemies and shoot them. So if this tutorial is not as detailed as you need to understand it, in-text version tutorial is the link for more detailed step by step object detection with custom data tutorial. In this tutorial, I assume that you already have TensorFlow object detection installed. If not, install it before going through this tutorial. Text tutorial: https://pylessons.com/TensorFlow-CAPTCHA-solver-training/ Full playlist: https://www.youtube.com/watch?v=4D5RN2yKlG4&list=PLbMO9c_jUD456277j2fHAUip19xfxIAx0 This tutorial code you can download from this link:https://drive.google.com/open?id=1UR2xtmZPkCByficxI-v_dVUP8_cX-tPn ✅ Support My Channel Through Patreon: https://www.patreon.com/PyLessons ✅ One-Time Contribution Through PayPal: https://www.paypal.com/paypalme/PyLessons