
start.me
Raindrop.io
Protopage
Diigo
Tagpacker
Atavi
Netvibes
Tabliss
Scikit Image
OpenCV
Microsoft Computer Vision API
Amazon Rekognition
Microsoft Video API
Clarifai
SimpleCV
Cloudinary
A Modern-day bookmark manager. A place for your favorites. A news feed (RSS) reader. A browser startpage. A portal for your team.
start.me
Scikit ImageBased on our record, start.me should be more popular than Scikit Image. It has been mentiond 14 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.
I really like how start.me works as it is URL based I can easily make it the default new tab and home page. Source: about 4 years ago
I love start.me (https://about.start.me/) . Source: about 4 years ago
Is it start.me? If that is the case, I am concerned about their ads. When I go to my bookmarked URL, I notice that Instead of opening the bookmakred URL(e.x reddit.com ), my ADguard DNS server blocks this malicious site: redirect.start.me/xxxidealo.dexx . I know that you can block all these with Ublock but without it, oh no. Source: over 4 years ago
My subscription to http://start.me has been worth every penny I pay for it. - Source: Hacker News / over 4 years ago
I'm using start.me. You can have more bookmarks and you can organize them in different groups. You can also sign in in different devices and use the same layout. Source: over 4 years ago
We will use the Hugging Face transformers and diffusers libraries for inference, FiftyOne for data management and visualization, and scikit-image for evaluation metrics. - Source: dev.to / over 2 years ago
Data analysis involves scrutinizing datasets for class imbalances or protected features and understanding their correlations and representations. A classical tool like pandas would be my obvious choice for most of the analysis, and I would use OpenCV or Scikit-Image for image-related tasks. - Source: dev.to / over 2 years ago
This is a good cv deep learning book with python examples https://www.manning.com/books/deep-learning-for-vision-systems. If you're pretty comfortable with the concepts of traditional image processing this is a good companion to cv2 (so you don't have to reinvent the wheel) https://scikit-image.org/. Source: over 3 years ago
Also, don't know if you're familiar with Python, but if you need ideas for to implement for future directions : https://scikit-image.org/. Source: almost 4 years ago
There's probably something in scikit-image to do what you want, or close enough to build on. Source: over 4 years ago
Raindrop.io - All your articles, photos, video & content from web & apps in one place.
OpenCV - OpenCV is the world's biggest computer vision library
Protopage - The best iGoogle alternative. Chris Pirillo calls Protopage "The best designed".
Microsoft Computer Vision API - Extract rich information from images and analyze content with Computer Vision, an Azure Cognitive Service.
Diigo - Diigo is a powerful research tool and a knowledge-sharing community
Amazon Rekognition - Add Amazon's advanced image analysis to your applications.