Phantombuster might be a bit more popular than YOLO. We know about 15 links to it since March 2021 and only 14 links to YOLO. 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 / 6 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: almost 2 years ago
The paper says the source code is available: Https://pjreddie.com/darknet/yolo/. Source: about 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: about 2 years ago
There are some tools available to automate this part for you like phantom buster and LinkedIn helper. Source: 8 months ago
Https://phantombuster.com/ is also a very good option/tool. Source: 10 months ago
We are in pre-launch and are marketing the CuratedLA Collective through various channels, including a ProductHunt launch, our access to AngelList Talent (now Wellfound) sourcing, niche subreddits, PhantomBuster drip campaigns, personal and professional circles of the CuratedLA audience, LinkedIn and cross-platform recommendations. Source: about 1 year ago
Source: I used to work at a LinkedIn automation company and I'm working on another LinkedIn networking tool now. Source: over 1 year ago
There are scrapers like Apollo.io that you can use. There is also phantombuster.com. Source: over 1 year ago
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