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YOLO object detection & Height with OpenCV
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In this tutorial, you’ll learn how to use the YOLO object detector to detect objects & Height.
#python #computer vision #opencv #deeplearning #machine learning
We’ll be using YOLOv3 in this blog post, in particular, YOLO trained on the COCO dataset.
The COCO dataset consists of 80 labels, including, but not limited to:
People
Bicycles
Cars and trucks
Airplanes
Stop signs and fire hydrants
Animals, including cats, dogs, birds, horses, cows, and sheep, to name a few
Kitchen and dining objects, such as wine glasses, cups, forks, knives, spoons, etc.
Please let me know your valuable feedback on the video by means of comments. Please like and share the video. Do not forget to subscribe to my channel for more educational videos.
Any type of problem you can comment down.
Want more education? Connect with me here:
#python #computer vision #opencv #deeplearning #machine learning
We’ll be using YOLOv3 in this blog post, in particular, YOLO trained on the COCO dataset.
The COCO dataset consists of 80 labels, including, but not limited to:
People
Bicycles
Cars and trucks
Airplanes
Stop signs and fire hydrants
Animals, including cats, dogs, birds, horses, cows, and sheep, to name a few
Kitchen and dining objects, such as wine glasses, cups, forks, knives, spoons, etc.
Please let me know your valuable feedback on the video by means of comments. Please like and share the video. Do not forget to subscribe to my channel for more educational videos.
Any type of problem you can comment down.
Want more education? Connect with me here:
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