Tensorflow Object Detection In 5 Hours With Python Full Course With 3 Projects
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Mastering ml: object recognition & detection with tensorflow. utilize tensorflow to detect objects in images, videos and live streaming videos with real world examples. rating: 2.3 out of 5. 2.3 (5 ratings) 36 students. created by tetranoodle team, manuj aggarwal. last updated 7 2019. english. An object detection model is trained to detect the presence and location of multiple classes of objects. for example, a model might be trained with images that contain various pieces of fruit, along with a label that specifies the class of fruit they represent (e.g. an apple, a banana, or a strawberry), and data specifying where each object. Object detection. in the fourth course of the deep learning specialization, you will understand how computer vision has evolved and become familiar with its exciting applications such as autonomous driving, face recognition, reading radiology images, and more. by the end, you will be able to build a convolutional neural network, including.
Object Detection Using Yolo And Ssd Model Tensorflow Opencv Python Video
Tensorflow Object Detection In 5 Hours With Python | Full Course With 3 Projects
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