Model Evaluation for Computer Vision - Precision, Recall, F1 Score, and Confusion Matrix
Offered By: Roboflow via YouTube
Course Description
Overview
Explore essential computer vision metrics including precision, recall, F1 score, and learn how to interpret a confusion matrix in this 26-minute video from Roboflow. Gain valuable insights into evaluating model performance for computer vision tasks, with additional resources provided on precision and recall, mean average precision, confusion matrices, and model evaluation techniques specific to Roboflow's platform.
Syllabus
Model Evaluation for Computer Vision
Taught by
Roboflow
Related Courses
How to Build a Detectron2 Model with Roboflow and Paperspace GradientRoboflow via YouTube How to Build a Raspberry Pi Pan Tilt Tracking - OpenCV AI Kit Tutorial - 2021
Augmented Startups via YouTube OpenCV AI Kit Raspberry Pi Smart Camera - OpenCV Python - Computer Vision - 2021
Augmented Startups via YouTube Accelerate Image Annotation with SAM and Grounding DINO - Python Tutorial
Roboflow via YouTube Active Learning in Computer Vision
Roboflow via YouTube