Yolov3 Object Detection Tutorial #3 - Web Scrape Images | OpenCV Python | Computer Vision 2020

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Yolo v3 Tutorial #3 - Object Detection Training Part 2 - How to Scrape Images for your Dataset. In this series we use OpenCV Python for our detections with Computer Vision.

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Hey guys and welcome back, in the lecture I'm going to show you how to web scrape images from google, to build up your own image dataset. This dataset can then be annotated and used for training for our very own custom AI object detector using Yolo V3 architecture.

For our object detector, we are going to be training it to differentiate between Xbox and PlayStation. And we’ll train it not only for the game consoles but also for controllers and branding. Our AI must also recognize which of these are the better console [cough PC] Just kidding, we’ll just look at these 2 classes for our Yolo V3 object detector.

If you want to skip this video of image scraping and annotation, you can go over the github repo, and download the annotated dataset.
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[woosal-kctr]

@Augmented Startups, , just because of the curiosity how can we change the path where the images are being downloaded through jupyter file one?

[marcellageraldarodriguesro]

I really Liked your post, could help me to set up a text report of images that indicates the moment that the image appears in hours minutes and seconds ??

[poloalo]

cont_msg=CUDA Error: no kernel image is available for execution on the device
what is this error during training

[nikhilrao]

my images are not getting downloaded its is showing error that "unfortunately all 100 images could not be downloaded 0 is only we have got " its showing like this.Please help

[unqtrunqmegawatt]

I stumbled across these videos and thought damn this guys sounds south african, after a quick google my suspicions werre confirmed. Really cool system

[leminhtantai]

Thank you for your supports. But i have problem like that:
(yolov3) image_download.py
usage: image_download.py [-h] [-k KEYWORDS] [-sk SUFFIX_KEYWORDS] [-l LIMIT]
[-f {jpg, gif, png, bmp, svg, webp, ico}] [-u URL]
[-x SINGLE_IMAGE] [-o OUTPUT_DIRECTORY] [-d DELAY]
[-c {red, orange, yellow, green, teal, blue, purple, pink, white, gray, black, brown}]
[-ct {full-color, black-and-white, transparent}]
[-r {labled-for-reuse-with-modifications, labled-for-reuse, labled-for-noncommercial-reuse-with-modification, labled-for-nocommercial-reuse}]
[-s {large, medium, icon}]
[-t {face, photo, clip-art, line-drawing, animated}]
[-w {past-24-hours, past-7-days}]
[-a {tall, square, wide, panoramic}]
[-si SIMILAR_IMAGES] [-ss SPECIFIC_SITE]
image_download.py: error: Keywords is a required argument!

I also installed google_images_download. Can you help me? :) thank you so much