Search result for Object detection Online Courses & Certifications
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Deep Learning :Adv. Computer Vision (object detection+more!)
by Jay Bhatt- 0.0
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7 hours on-demand video
This course is a complete guide for setting up TensorFlow object detection api, Transfer learning and a lot more One best thing is you will understand the core basics of CNN and how it converts to object detection slowly. · Anyone who wants to learn about object detection algorithms like SSD and YOLO...
$12.99
Advanced Computer Vision with TensorFlow
by Laurence Moroney , Eddy Shyu- 4.8
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Approx. 24 hours to complete
b) Apply object detection models such as regional-CNN and ResNet-50, customize existing models, and build your own models to detect, localize, and label your own rubber duck images. Classification and Object Detection Intro Object Detection Object Detection and Sliding Windows Read about the Object Detection API Use the Object Detection API...
Object Detection with Python
by Devansh Varshney- 3.7
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1 hour on-demand video
Learn object detection the easiest way with OpenCV...
$12.99
Learn Computer Vision with OpenCV and Python
by Ibrahim Delibasoglu- 3.8
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8 hours on-demand video
Image processing basics, Object detection and tracking, Deep Learning, Facial landmarks and many special applications You will learn how to do an application for missing object detection and abandoned object detection Object detection: haarcascade face and eye detection, HOG pedestrian detection Object detection with Deep Learning Extra Chapter: Special Apps - Missing and Abandoned Object Detection...
$12.99
Visual Perception for Self-Driving Cars
by Steven Waslander- 4.7
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Approx. 31 hours to complete
You'll apply these methods to visual odometry, object detection and tracking, and semantic segmentation for drivable surface estimation. Module 4: 2D Object Detection Lesson 1: The Object Detection Problem Lesson 2: 2D Object detection with Convolutional Neural Networks Supplementary Reading: The Object Detection Problem Supplementary Reading: 2D Object detection with Convolutional Neural Networks...
Python for Computer Vision: Object (Traffic Sign) Detection
by Ibrahim Delibasoglu- 3.8
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2 hours on-demand video
Learn how to develop an object detection application In this course, you are going to learn how to develop a computer vision application for object detection from scratch. This course will be your one of best resources to learn Python for Computer Vision over a step-by-step detailed explained object detection application....
$12.99
Computer Vision: Python OCR & Object Detection Quick Starter
by Abhilash Nelson- 4.3
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4.5 hours on-demand video
Quick Starter for Optical Character Recognition, Image Recognition Object Detection and Object Recognition using Python Then we will go ahead with object detection from a live video. In the next session, we will go ahead with object detection from a pre-saved video. Then we will go ahead with object detection from a live video using Mask-RCNN....
$13.99
Deep Learning for Computer Vision with Tensor Flow and Keras
by CARLOS QUIROS- 3.8
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12 hours on-demand video
ConvNets, VGG-16, ResNet, Inception, Faster R-CNN, TensorFlow Object Detection, YOLO v2-v3-v4. We will explore the concepts of Object Detecting and Transfer Learning using the last state of the art algorithms for object detection such as Faster R-CNN, TensorFlow Object Detection API and YOLO, applying this models on images, videos, and webcam images....
$17.99
YOLO v3 - Robust Deep Learning Object Detection in 1 hour
by Augmented Startups- 4.2
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2.5 hours on-demand video
This got us searching for a better way to manage the object detection workflow, that will not only help us better manage the object detection process but will also improve our time to market. Amongst the possible solutions we arrived at using Supervisely which is free Object Detection Workflow Tool, that can help you:...
$12.99
Convolutional Neural Networks
by Andrew NgTop Instructor , Kian KatanforooshTop Instructor , Younes Bensouda MourriTop Instructor- 4.9
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Approx. 35 hours to complete
By the end, you will be able to build a convolutional neural network, including recent variations such as residual networks; apply convolutional networks to visual detection and recognition tasks; and use neural style transfer to generate art and apply these algorithms to a variety of image, video, and other 2D or 3D data. Object Detection Object Detection...
