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Lecture 17: object detection

What is the best object detection model for 2023?
In conclusion, YOLOv7 is the best real-time object detection algorithm with the highest accuracy.
However, there are several other popular object detection techniques, such as Viola-Jones object detection, SIFT, HOG, and R-CNNs.
Other notable object detection models include Faster R-CNN, HOG, and SSD.
Which library is best for object detection?
The YOLOv3_TensorFlow library is one of the oldest implementations of the YOLO architecture for object detection processing and computation.
Which algorithm is best for object detection?
Most Popular Object Detection Algorithms.
Popular algorithms used to perform object detection include convolutional neural networks (R-CNN, Region-Based Convolutional Neural Networks), Fast R-CNN, and YOLO (You Only Look Once).
The R-CNN's are in the R-CNN family, while YOLO is part of the single-shot detector family.
The Vision API can detect and extract multiple objects in an image with Object Localization.
Object localization identifies multiple objects in an image and provides a LocalizedObjectAnnotation for each object in the image.

What is the best object detection model for 2023?