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๐ค YOLO (You Only Look Once)
Welcome to the object-detection project using YOLO !
YOLO is a real-time object detection algorithm that detects multiple objects in a single pass through a neural network.
Here we are going to address all the findings related to this demo project. This involve also code and several small snippets but the important is to understand the process.
๐ YOLO versions
YOLO as been around since 2016 and if i would take 2 main date references in is lifetime, it would be before YOLOv4 (Apr 2020) were its was support on Darknet a neural network framework written in C and CUDA and after YOLOv5 (Jun 2020) when it was built using PyTorch an open-source machine learning framework used to build and train deep learning models, currently supported by a company name Ultralytics.
The list of YOLO versions with their release dates.
| Version | Release Date | Notes / Framework Used |
|---|---|---|
| YOLOv1 | May 2016 | Original version by Joseph Redmon (Darknet) |
| YOLOv2 (YOLO9000) | Dec 2016 | Improved accuracy & speed (Darknet) |
| YOLOv3 | Apr 2018 | Multi-label detection, better architecture (Darknet) |
| YOLOv4 | Apr 2020 | By AlexeyAB, community-driven (Darknet) |
| YOLOv5 | Jun 2020 | By Ultralytics, rewritten in PyTorch |
| YOLOv6 | Jun 2022 | By Meituan, optimized for edge devices (PyTorch) |
| YOLOv7 | Jul 2022 | By WongKinYiu, state-of-the-art accuracy (PyTorch) |
| YOLOv8 | Jan 2023 | By Ultralytics, modular and flexible (PyTorch) |
| YOLOv9 | Nov 2023 | By Ultralytics, focuses on quantization, performance |
| YOLOv10 | Apr 2024 | By Ultralytics, added faster inference & RT-DETR support |
| YOLOv11 | Mar 2025 | Latest version, focused on transformer integration, performance & multi-task learning |
๐ก Real-World Applications
From factory floors to jungle trails, YOLO powers intelligent vision across industriesโhereโs where it shines:
- Self-driving cars ๐ป
- Medical imaging ๐ง
- Wildlife monitoring ๐
- Factory automation ๐ญ
- Security systems ๐
- Surveillance and security ๐ฎโโ๏ธ
- Quality inspection ๐ญ
- Retail analytics ๐๏ธ
- Sports analytics โฝ
- Anything that you perceive as a pattern that can be detected by the human eye you will be able to detect in yolo.