YOLOv8 Tracking Tutorial: Human Tracking with Bytetrack Algorithm on HumanCrowd and MOT20 Datasets, and Evaluation on MOT17

Continuing the previous tutorials (part 2)on training and detecting humans with YOLOv8 library, in this tutorial, we enhance the tracking capabilities by integrating the innovative Bytetrack algorithm.

Why YOLOv8 and Bytetrack?

Combining the efficiency of YOLOv8 with the adaptive tracking capabilities of the Bytetrack algorithm results in a powerful and dynamic human tracking system. YOLOv8, renowned for real-time object detection, seamlessly integrates with Bytetrack, creating a synergy that allows for continuous, reliable tracking in complex environments.

Key Components of the Tutorial:

Bytetrack Tracking Algorithm:

• Introduce the innovative Bytetrack tracking algorithm, emphasizing its adaptability and precision in human tracking scenarios.
• Understand the key features that make Bytetrack a valuable addition to the tracking pipeline.

Real-time Tracking:

• Witness the combined power of YOLOv8 and Bytetrack as the model dynamically tracks humans with accuracy and efficiency.
• Explore the adaptability of Bytetrack in maintaining tracking continuity in various dynamic environments.

Performance Evaluation on MOT17:

• Dive into the renowned MOT17…