PixLab
OpenFace
Sightcorp
Lambda Face Recognition API
Affectiva
Kairos
Google Vision AI
OpenCV
Amazon Rekognition
Clarifai
Google Vision AI
OpenCV
Kairos
Trueface Visionbox
Microsoft Computer Vision API
Social Mapper
PixLab Amazon RekognitionNo PixLab videos yet. You could help us improve this page by suggesting one.
Based on our record, Amazon Rekognition seems to be a lot more popular than PixLab. While we know about 33 links to Amazon Rekognition, we've tracked only 3 mentions of PixLab. 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.
In this blog post, I will show you a live demo and how you can implement this in your Nextjs/React app using PixLab's powerful computer vision APIs. - Source: dev.to / 4 months ago
PixLab (https://pixlab.io) & FACEIO (https://faceio.net) | Full-or-part-time | Remote | Computer Vision / Full stack Engineers | PixLab, a leading provider of Machine Vision, Face Recognition & Media Processing APIs is looking for: * Embedded C & Computer Vision engineer(s) to work on the SOD (https://sod.pixlab.io), embedded computer vision library. * Senior Python engineer with proficiency in PyTorch to work on... - Source: Hacker News / 8 months ago
We are pleased to introduce FACEIO, a product developed from scratch here at PixLab in the past few years. We look forward to hear your thoughts about this... - Source: dev.to / almost 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 / about 1 month 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 / 9 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: 10 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 / 12 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: about 1 year ago
OpenFace - OpenFace is an open source face recognition solution with deep neural networks.
Clarifai - The World's AI
Sightcorp - Sightcorp’s F.A.C.E. API is an cloud analysis engine for automated emotional expression detection.
Google Vision AI - Cloud Vision API provides a comprehensive set of capabilities including object detection, ocr, explicit content, face, logo, and landmark detection.
Lambda Face Recognition API - Lambda is a free, open source face API which offers both face detection and face recognition.
OpenCV - OpenCV is the world's biggest computer vision library
