Amplitude
Mixpanel
Google Analytics
KISSmetrics
PostHog
Matomo
Heap
Plausible.io
Scikit Image
OpenCV
Microsoft Computer Vision API
Amazon Rekognition
Microsoft Video API
Clarifai
SimpleCV
Cloudinary
Amplitude
Scikit ImageAmplitude is recommended for product managers, marketers, data analysts, and businesses of all sizes who are seeking to optimize their product offerings and user engagement strategies through detailed analytics and behavioral insights. It is particularly beneficial for tech companies and digital-first businesses looking to leverage their data effectively.
Based on our record, Amplitude should be more popular than Scikit Image. It has been mentiond 45 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.
When someone signs up with a personal email, you still have their name, behavioral data from Mixpanel or Amplitude, and whatever they self-reported in onboarding. That's your starting point before enrichment APIs enter the picture. - Source: dev.to / 3 months ago
Amplitude offers advanced behavioral and predictive analytics, useful for tracking lifecycle events in DeFi protocols or onchain apps. - Source: dev.to / 5 months ago
Amplitude: A Web2 product analytics platform that helps brands optimize user experience and results. - Source: dev.to / 5 months ago
To collect these metrics effectively, you'll need specialized tools like Google Analytics, Mixpanel, Segment, or Amplitude. - Source: dev.to / over 1 year ago
Amplitude is a leading product analytics tool that offers deep insights into user behavior, helping businesses make tailored decisions for product growth. It is known for its user segmentation and behavioral cohorts, which segment users based on their actions on the app and engagement score. Product managers can better understand their usersโ journey with instant visualizations, automated reports, and real-time... - Source: dev.to / over 1 year 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
Mixpanel - Mixpanel is the most advanced analytics platform in the world for mobile & web.
OpenCV - OpenCV is the world's biggest computer vision library
Google Analytics - Improve your website to increase conversions, improve the user experience, and make more money using Google Analytics. Measure, understand and quantify engagement on your site with customized and in-depth reports.
Microsoft Computer Vision API - Extract rich information from images and analyze content with Computer Vision, an Azure Cognitive Service.
KISSmetrics - Giving you the knowledge you need to make better decisions. Kissmetrics is a revolutionary person-based analytics platform for your whole team. Get product, sales, marketing, customer support working together to improve the metrics that matter.
Amazon Rekognition - Add Amazon's advanced image analysis to your applications.