Software Alternatives & Reviews

BlackBerry QNX VS Roboflow Universe

Compare BlackBerry QNX VS Roboflow Universe and see what are their differences

BlackBerry QNX logo BlackBerry QNX

BlackBerry QNX Helps Automakers Realize a Safe and Secure Connected Car

Roboflow Universe logo Roboflow Universe

You no longer need to collect and label images or train a ML model to add computer vision to your project.
  • BlackBerry QNX Landing page
    Landing page //
    2023-09-26
  • Roboflow Universe Landing page
    Landing page //
    2022-12-11

BlackBerry QNX videos

BlackBerry QNX - The Platform for the Car

More videos:

  • Review - CASE STUDY: Blackberry QNX
  • Review - Blackberry QNX 2.0 review (NL/BE)

Roboflow Universe videos

No Roboflow Universe videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to BlackBerry QNX and Roboflow Universe)
IoT Platform
100 100%
0% 0
Developer Tools
0 0%
100% 100
Data Dashboard
100 100%
0% 0
AI
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, Roboflow Universe seems to be more popular. It has been mentiond 18 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.

BlackBerry QNX mentions (0)

We have not tracked any mentions of BlackBerry QNX yet. Tracking of BlackBerry QNX recommendations started around Mar 2021.

Roboflow Universe mentions (18)

  • Show HN: Pip install inference, open source computer vision deployment
    It’s an easy to use inference server for computer vision models. The end result is a Docker container that serves a standardized API as a microservice that your application uses to get predictions from computer vision models (though there is also a native Python interface). It’s backed by a bunch of component pieces: * a server (so you don’t have to reimplement things like image processing & prediction... - Source: Hacker News / 8 months ago
  • Open discussion and useful links people trying to do Object Detection
    * Most of the time I find Roboflow extremely handy, I used it to merge datasets, augmentate, read tutorials and that kind of thing. Basically you just create your dataset with roboflow and focus on other aspects. Source: about 1 year ago
  • TensorFlow Datasets (TFDS): a collection of ready-to-use datasets
    For computer vision, there are 100k+ open source classification, object detection, and segmentation datasets available on Roboflow Universe: https://universe.roboflow.com. - Source: Hacker News / over 1 year ago
  • Ask HN: Who is hiring? (December 2022)
    Roboflow | Multiple Roles | Full-time (Remote) | https://roboflow.com/careers?ref=whoishiring1222 Roboflow is the fastest way to use computer vision in production. We help developers give their software the sense of sight. Our end-to-end platform[1] provides tooling for image collection, annotation, dataset exploration and curation, training, and deployment. Over 100k engineers (including engineers from 2/3... - Source: Hacker News / over 1 year ago
  • Please suggest resources to learn how to work with pre-trained CV models
    Solid website and app overall for learning more about computer vision, discovering datasets, and keeping up with advancements in the field: * https://roboflow.com/learn * https://universe.roboflow.com (datasets) | https://blog.roboflow.com/computer-vision-datasets-and-apis/ * https://blog.roboflow.com. Source: over 1 year ago
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What are some alternatives?

When comparing BlackBerry QNX and Roboflow Universe, you can also consider the following products

Losant - Losant makes building connected experiences and solutions easy.

TensorFlow Lite - Low-latency inference of on-device ML models

Cisco Jasper - Jasper provides a SaaS IoT platform to enable companies of all sizes to launch, manage and monetize IoT services on a global scale.

Apple Core ML - Integrate a broad variety of ML model types into your app

C3 IoT - C3 IoT enables energy companies to realize the full benefit of their IoT and system investments.

Aquarium - Improve ML models by improving datasets they’re trained on