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Website | pjreddie.com |
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Website | aws.amazon.com |
Based on our record, Amazon Rekognition should be more popular than YOLO. It has been mentiond 32 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
OpenCV and "AI" can work well together; see YOLO: https://pjreddie.com/darknet/yolo/. - Source: Hacker News / 3 months ago
Then there is the creator of YOLO. His resume is epic. It's completely My Little Pony themed. Source: over 1 year ago
For the API, I've used python and django. For image processing and detecting persons in image, I used yolov3. If any person exceeded limit that user gave, the API sends notification to user via telegram. Source: over 1 year ago
The paper says the source code is available: Https://pjreddie.com/darknet/yolo/. Source: almost 2 years ago
If you are trying to identify objects in an image (like 'cat', 'person', etc), then you might look at YOLO. There are lots of github projects using it to explore, too. Source: almost 2 years ago
I don’t really want to spend so much time manually adjusting labels. For most machine learning, the next step would be to fine tune your model. You can essentially fine tune Amazon Rekognition by using Custom Labels. You can do this to make it better at detecting specific objects (like bears) or train it to detect new objects like your product or logo. It really depends on your application needs. - Source: dev.to / 7 months ago
For instance, are you a company with lots of security cameras? Hire me to write a program that pipes your data into AWS rekognition and then shows you a dashboard of what happened on your cams today. Got a ton of products with no meta-description? Hire me to write a program that pipes your data into OpenAI, and then saves the generated description to your custom CMS. Source: 8 months ago
Amazon Rekognition: Used to index, detect faces in the picture, and compare faces when users try voting, it was the heart of the facial voting feature. - Source: dev.to / 10 months ago
Sure. But if you think generating thumbnails and detecting intros/credits takes a long time, wait until your computer is running machine learning/computer vision over your entire library. They also have to build and train that model which is no trivial task. And I know what you're thinking, why don't they just use Amazon's Rekognition service that does celebrity identification? Well, it's $0.10 per minute of... Source: 11 months ago
We will run amplify push to create these resources in AWS. The AWS services used here are Amazon Rekognition for image recognition and Amazon Textract for document analysis. - Source: dev.to / 11 months ago
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