Trends

• Models need to be trainable in fewer epochs, with fewer augmentations and less data.

Highlighted Models

• Yolo12. Fb post
  • Now integate with attention mechanism. Use Area Attention (A2) and Residual Efficient Layer Aggregation Networks (R-ELAN). This increase mAP while still fast enough for real-time app.
  • A bit about Attention Mechanism.
• Vision AI for anomaly detection: A quick overview
  • Explore how computer vision enables precise anomaly detection in various industries. Learn how to custom-train models like Ultralytics YOLO11 for anomaly detection.
  • The smallest object detection model, [YOLO11n, has just 2.6 million parameters - about the size of a JPEG.
  • The largest object detection model, YOLO11x, has around 56 million parameters, and even that is incredibly small compared to other models.
  • You can train them on a cheap GPU, like a five-year-old Nvidia GPU.

OCR

• Fb post for OCR Vietnamese.