- Project created as part of KAU Computer Vision Course by @msamrai
- 🦾We trained Yolo11n in Googgle Colab with A100 GPU in 100 epochs
- 🎯Inference with NVIDIA MX110 (🥲) got approximately 2 FPS
- 🗃️We trained on 2134 images, check out [more](## Dataset)
- 💻Realtime overlay with tkinter
Caution
Project created in educational purposes, all inference was performed in singleplayer mode.
DO NOT USE IT IN MULTIPLAYER
- We created our dataset using Roboflow
- We forked this dataset with 1881 image
- And added 253 images, from self-produced gameplay, and Youtube videos
Check out training notebook
Check out this amazing CS:GO aimbot by @daniabib , which we inspired, and based our code of aimbot