Hello trend,
This is Satya Mallick from LearnOpenCV.com.
In today's post, we are sharing top 10 sources for finding free computer vision and AI models.
https://learnopencv.com/top-10-sources-to-find-computer-vision-and-ai-models/
The AI community generously shares code, model architectures, and even models trained on large datasets. We are standing on the shoulders of giants, which is why the industry is adopting AI so widely.
When we start a computer vision project, we first find models that partially solve our problem.
Let's say you want to build a security application that looks for humans in restricted areas. First, check if a publicly available pedestrian detection model works for you out of the box. If it does, you do not need to train a new model. If not, experimenting with publicly available models will give you an idea of which architecture to choose for fine-tuning or transfer learning.
Finding Frosty : Training a object detector from scratch using YOLO v5
A few weeks back, I discussed the basic idea of the YOLO object detector in OpenCV Weekly Webinar. The recording of the webinar is at -
This week, we will continue to the second part of the series where we will go over YOLO v3, and YOLO v5. And we will learn how to train an snowman detector using YOLO v5.
Please subscribe (zoom link) to OpenCV Weekly Webinar to get link and reminder for the webinar.
Cheers!
Satya
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