Explore and run machine learning code with Kaggle Notebooks | Using data from Road Sign Detection
This technology is used in theft detection, identification of accidents and emergencies, detection of abnormal behaviors, and more. These are just a few examples of Computer vision applications in the real world. With advancing technology and increased computational power, it is expected that this ...
💻💡🚦Security and surveillance:Computer vision aids in identifying and detecting objects and suspicious activities in surveillance systems. This technology is used in theft detection, identification of accidents and emergencies, detection of abnormal behaviors, and more. ...
Letter sign detection with YOLOv8 Notebook · Updated8 months ago0 comments arrow_drop_up2 more_horiz code Pothole segmentation with YOLOv8 Notebook · Updated8 months ago0 comments arrow_drop_up2 more_horiz code Road mark detection with YOLOv8 ...
But in usual Machine Learning algorithms like SVM, a bounding box object detection algorithm is required first to identify all possible objects to have the HOG as input to the learning algorithm in order to recognize relevant objects.When to use DL?Deep Learning out perform other techniques if ...
Processing onboard camera data is critical for obstacle detection and navigation.Depth Estimation: MonoDepth: A CNN for single image depth estimation. Stereo Vision: Using two cameras for depth perception. LiDAR Integration: Combining camera data with LiDAR for accurate depth sensing. Object ...
detection problem, Deep Learning techniques like Yolo net take the image as input and provide the location and name of objects at output. But in usual Machine Learning algorithms like SVM, a bounding box object detection algorithm is required first to identify all possible objects to have the ...