⏰ YOLO V4 vs V5 Comparison
YOLO V4 vs V5 Comparison
⚠️ Important Note: This comparison was conducted on March 5, 2021. At that time, there were no official papers published for YOLOv5 yet, which raised some doubts about the comparison. However, based on the test results, YOLOv5 appears to demonstrate better performance.
📹 Main Comparison Video: YOLOv4 vs YOLOv5
🔍 Model Information
🔷 YOLOv4
- Repository: https://github.com/AlexeyAB/darknet
- Model: YOLOv4 (size: 608)
- Model Zoo: YOLOv4 Model Zoo
- Weights: Download from Google Drive
- Framework: Darknet
🔶 YOLOv5
- Repository: https://github.com/ultralytics/yolov5
- Model: YOLOv5 X-Large (yolov5x)
- Framework: PyTorch
- Developer: Ultralytics
- Status (March 2021): No official paper published yet
💻 Testing Environment
| Component | Specification |
|---|---|
| GPU | NVIDIA Tesla T4 |
| CPU | 2nd Generation Intel Xeon |
| Platform | AWS g4dn.4xlarge EC2 instance |
🎯 Additional Comparison: YOLOv5 Model Variants
Comparison of Different YOLOv5 Model Sizes
📊 Model Layout (2x2 Grid)
|
Left-Top YOLOv5s (Small - Fastest) |
Right-Top YOLOv5m (Medium) |
|
Left-Bottom YOLOv5l (Large) |
Right-Bottom YOLOv5x (X-Large - Most Accurate) |
📈 YOLOv5 Model Comparison
| Model | Size | Speed | Accuracy |
|---|---|---|---|
| YOLOv5s | Smallest | ⚡ Fastest | Good |
| YOLOv5m | Medium | Fast | Better |
| YOLOv5l | Large | Moderate | High |
| YOLOv5x | Largest | Slower | 🎯 Highest |
🔍 Key Observations
- ✅ YOLOv5 appears to perform better than YOLOv4 in the tested scenarios
- 📦 Model size options: YOLOv5 offers multiple variants (s, m, l, x) for different use cases
- ⚡ Speed vs Accuracy trade-off: Smaller models (s, m) are faster but less accurate; larger models (l, x) are more accurate but slower
- 🔬 Framework difference: YOLOv4 uses Darknet, YOLOv5 uses PyTorch
- 💡 Ease of use: YOLOv5 generally considered easier to implement and train
⚠️ Important Considerations
Controversy and Context (March 2021)
- No official research paper published for YOLOv5 at the time of testing
- Some debate in the community about naming and methodology
- Performance improvements observed despite the controversy
- YOLOv5 has since become widely adopted and continuously updated
📚 Resources
- 📂 YOLOv4 Official Repository (Darknet)
- 📂 YOLOv5 Official Repository (Ultralytics)
- 🔗 YOLOv4 Model Zoo
- 💾 YOLOv4 Weights Download
Thank you! 😺
Main image from Ian Talmacs