PixLab
OpenFace
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Amazon Rekognition
Lambda Face Recognition API
Affectiva
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Deepnote
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PixLab DeepnoteNo PixLab videos yet. You could help us improve this page by suggesting one.
Based on our record, Deepnote should be more popular than PixLab. It has been mentiond 32 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 asked to select a Facial Recognition Engine for the application, choose PixLab Insight. The engine will be used for mapping each enrolled user’s face in real-time into a mathematical feature vector, known as a biometric hash, which is in turn stored in a sand-boxed binary index. This is used to protect the data of users when they are authenticated with FACEIO. - Source: dev.to / 8 days ago
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 / 9 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
Deepnote - A new data science notebook. Jupyter is compatible with real-time collaboration and running in the cloud. The free tier includes unlimited personal projects, up to 750 hours of standard hardware, and teams with up to 3 editors. - Source: dev.to / 3 months ago
We looked into many of these issues with Deepnote (YC S19) [https://deepnote.com/]. What we found is that these are not necessarily problems of the underlying medium (a notebook), but more of the specific implementation (Jupyter). We've seen a lot of progress in the Jupyter ecosystem, but unfortunately almost none in the areas you mentioned. - Source: Hacker News / 11 months ago
Upload your ipynb to Deepnote and publish as an app. That simple. https://deepnote.com. - Source: Hacker News / about 1 year ago
Using Deepnote, we'll create a Python notebook and upload the two GeoJSON files into a data directory. - Source: dev.to / over 1 year ago
Deepnote - A new kind of data science notebook. Jupyter-compatible with real-time collaboration and running in the cloud. Free tier includes unlimited personal projects, up to 750 hours of standard hardware and teams with up to 3 editors. - Source: dev.to / over 1 year ago
OpenFace - OpenFace is an open source face recognition solution with deep neural networks.
Amazon SageMaker - Amazon SageMaker provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly.
Sightcorp - Sightcorp’s F.A.C.E. API is an cloud analysis engine for automated emotional expression detection.
Apache Zeppelin - A web-based notebook that enables interactive data analytics.
Amazon Rekognition - Add Amazon's advanced image analysis to your applications.
Saturn Cloud - ML in the cloud. Loved by Data Scientists, Control for IT. Advance your business's ML capabilities through the entire experiment tracking lifecycle. Available on multiple clouds: AWS, Azure, GCP, and OCI.
