YOLOX modernizes one-stage object detection by adopting an anchor-free design and decoupled classification and regression heads, improving both accuracy and convergence speed.

Original paper: YOLOX: Exceeding YOLO Series in 2021

YOLOX-S

YOLOX-S (Small) is a lightweight variant optimized for fast inference while maintaining competitive detection accuracy. It is well suited for real-time object detection in applications such as video analytics, robotics, and edge deployment where low latency is critical.

Model Configuration:

• Reference implementation: YOLOX
• Original Weight: YOLOX_S_Weights.COCO2017
• Resolution: 3x640x640
• Support Cooper version:
  • Cooper SDK: [2.5.2]
  • Cooper Foundry: [2.2]

Model	Device	Model Link
YOLOX-s	N1-655	Model_Link
YOLOX-s	CV72	Model_Link
YOLOX-s	CV75	Model_Link