Facebook Detectron2

Facebook Detectron2 was developed by Facebook AI Research and released in 2019. It was created to advance the capabilities of computer vision tasks, building on the success of the original Detectron framework. The system aimed to provide a more flexible and efficient platform for training and deploying state-of-the-art object detection and segmentation models.

Strengths of Facebook Detectron2 include its high accuracy, flexibility, and comprehensive support for various computer vision tasks. Weaknesses may involve a steep learning curve and significant computational resources required for training. Competitors include TensorFlow Object Detection API, YOLO (You Only Look Once), and OpenCV's DNN module.

A Facebook Detectron2 expert must have strong skills in Python programming, deep learning frameworks such as PyTorch, and experience with computer vision tasks like object detection and image segmentation. They should also be proficient in using GPU for model training and familiar with dataset preparation and augmentation techniques.