Aim-bot based on AI for all FPS games

NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite

Kaggle Bundesliga Data Shootout Analysis using YOLO, OpenCV, and Python

Use this project to automatically annotate your dataset for free in CVAT

AI-First Process Automation with Large ([Language (LLMs) / Action (LAMs) / Multimodal (LMMs)] / Visual Language (VLMs)) Models

The "All-in-One GUI for Training and Detection or Segmentation with YOLOv8" simplifies object training, detection, and segmentation using the YOLOv8 model. Its user-friendly interface and advanced features make it suitable for various applications and reduce barriers to implementing advanced computer vision solutions.

Detect safety helmets in images using a custom-trained YOLOv8 model for enhanced workplace safety.

Faces anonymization in video feed using either pixelation or blurring techniques.

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

YOLOv3 in PyTorch > ONNX > CoreML > TFLite

Using computer vision with cv2 and the ultralytics YOLO model, this project tracks customers in checkout lines to calculate their wait times. Roboflow's Supervision annotates videos in real-time, highlighting zones and displaying wait times. 📸⏱️

Profile PyTorch models for FLOPs and parameters, helping to evaluate computational efficiency and memory usage.

Ultralytics GitHub Actions

MkDocs plugin for Ultralytics Docs at https://docs.ultralytics.com

🚀🚀🚀 A collection of some awesome public YOLO object detection series projects.

Blur faces with Ultralytics and OpenCV2 library using Python

Ultralytics YOLOv8, YOLOv9, YOLOv10 for ROS 2

SORT implementation for multi-object tracking.

Object Classification, Object Detection, Object Segmentation, Pose Detection / Landmarking, Hand Landmarking, Face Landmarking, Background Removal, etc. using Ultralytics, Google MediaPipe, etc.

NVIDIA DeepStream SDK 7.0 / 6.4 / 6.3 / 6.2 / 6.1.1 / 6.1 / 6.0.1 / 6.0 / 5.1 implementation for YOLO models