Scout
NewRelic
Wanderlog
AppSignal
Estherbot
Datadog
AppDynamics
Sygic Travel Maps
Amazon Rekognition
Google Vision AI
Kairos
Clarifai
OpenCV
Microsoft Computer Vision API
Trueface Visionbox
Social Mapper
Scout Monitoring is an APM tool designed for Rails, Django, and Laravel web apps.
Scout Amazon RekognitionBased on our record, Amazon Rekognition seems to be a lot more popular than Scout. While we know about 33 links to Amazon Rekognition, we've tracked only 3 mentions of Scout. 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.
Install an apm. I recommend Scout. It will report to you which requests allocate a large number of objects. NewRelic is nice too but I find it to be too much to configure and setup. Scout works immediately out of the box and gives you some pretty good info. Source: over 1 year ago
Scout APM – provides application performance monitoring (APM) for Ruby, PHP, Python, Node.js, and Elixir-based services. - Source: dev.to / over 1 year ago
To see what these tools can be like for free, you might want to check out Datadog which has a free tier (Datadog is not a sponsor, I've just used their service, enjoyed it, and know that it's free for a small number of servers). Other popular vendors include Scout APM and New Relic. - Source: dev.to / over 2 years ago
AWS Rekognition is a great choice for many types of real-world projects or just for testing an idea on your images. The issue eventually comes with its cost, unfortunately, which we will see later in a specific example. Don’t get me wrong, Rekognition is a great service and I love to use it for its simplicity and reliable performance on quite a few projects. - Source: dev.to / 3 months 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 / 12 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: 12 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 / about 1 year 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: over 1 year ago
NewRelic - New Relic is a Software Analytics company that makes sense of billions of metrics across millions of apps. We help the people who build modern software understand the stories their data is trying to tell them.
Google Vision AI - Cloud Vision API provides a comprehensive set of capabilities including object detection, ocr, explicit content, face, logo, and landmark detection.
Wanderlog - Collaborative travel planner with combined itinerary and map
Kairos - Facial recognition & mood detection API
AppSignal - We monitor the software that makes your customers happy.
Clarifai - The World's AI