
CompreFace
Amazon Rekognition
Google Vision AI
Facebook Computer Vision Tags
Ximilar
Kairos
Hume AI
VISUA
Modal
e2b
Zerve AI
Hugging Face
Replicate.com
Cerebrium
Microsoft Azure
dat1.co
CompreFace
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Based on our record, Modal seems to be a lot more popular than CompreFace. While we know about 45 links to Modal, we've tracked only 2 mentions of CompreFace. 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.
Looking into this I found Compreface (https://exadel.com/solutions/compreface/) an open source face recognition software. There are alread some controb scripts, like contrib/photils.lua, who take some images, run them through a tool, then tag them with data coming from the tool. Converting this to use Compreface looks likea promising avenue. Source: almost 4 years ago
Does anyone know what the technical interview process for Senior Java position looks like for the company Exadel? Https://exadel.com/. Source: about 4 years ago
Exadel - holy heck. They gave us talent for DAYS. Source: about 4 years ago
Serhii Pospielov, AI Practice Head at Exadel, reviewed several no-code app builders from a developer's point of view. He tried to create MVPs on 13 different platforms, but only managed to achieve that on five (this doesnโt mean that the other eight arenโt good platforms โ just that they didnโt meet his particular business need). Serhiiโs favorite no-code app builders were:. - Source: dev.to / over 4 years ago
Free and Open-Source Face Recognition System that can be integrated into any system without prior AI knowledge: https://exadel.com/solutions/compreface/. Source: about 5 years ago
If you've used E2B, Daytona, Modal sandboxes, or Cloudflare Sandboxes, the shape is familiar: REST API, Python and JS SDKs, exec / files / snapshot primitives. Here's what the Python SDK looks like:. - Source: dev.to / 2 months ago
The supported environments include your local machine, Docker containers, remote SSH servers, and two serverless options called Daytona and Modal. Daytona and Modal are the interesting ones for beginners as they handle all the infrastructure for you, and you only pay for compute when Hermes is actively doing something. - Source: dev.to / 3 months ago
TL;DR: If you just need to ship fast, E2B has the best SDK experience. If you need the fastest cold starts, Blaxel wins at 25ms. For GPU workloads, Modal is unmatched. For self-hosted control, Daytona is open-source with a managed option. For persistent long-running sessions, Fly.io Sprites gives you 100GB NVMe per sandbox. - Source: dev.to / 4 months ago
* dramatically increasing inference throughput on [modal.com](http://modal.com) meant I could generate 10s of thousands of tiles in a few hours at very little cost, allowing me to experiment much more rapidly This project continues to be a lot of fun, but Iโm now mostly focusing on the agentic workflows that power this kind of ambitious generation at scale. Canโt wait to share more soon. - Source: Hacker News / 5 months ago
Thanks for sharing this interesting project and approach! One suggestion for improvement: Add some more info to your website/GitHub about the need for a provider and which providers are compatible. It took me a bit to figure that out because there was no prominent info about it. Additionally, none of the demos showed a login or authentication part. To me, it seemed like the VMs just came out of nowhere. So at... - Source: Hacker News / 5 months ago
Amazon Rekognition - Add Amazon's advanced image analysis to your applications.
e2b - Open-Source AI Powered IDE That Does The Work For You
Google Vision AI - Cloud Vision API provides a comprehensive set of capabilities including object detection, ocr, explicit content, face, logo, and landmark detection.
Zerve AI - What if Jupyter + Figma + VSCode had a baby?
Facebook Computer Vision Tags - Show Facebook computer vision tags in Google Chrome
Hugging Face - The AI community building the future. The platform where the machine learning community collaborates on models, datasets, and applications.