(Update: January 5th 2014) In response to backer (and potential backer) demand, we will offer a single machine license and linux-binary for a local VMX installation.
VMX could be used to make games more engaging, enhance your interactions with your devices, and allow your computer to automate many of your daily chores and responsibilities. The VMX project was designed to bring cutting-edge computer vision technology to a very broad audience: hobbyists, researchers, artists, students, roboticists, engineers, businesses, and entrepreneurs.
This means that whether your ideal application involves processing previously recorded videos, learning from Google Image search, or having a camera watch your refrigerator, the possibilities are endless.
By leaving the hard stuff to us, you will be able to focus on creative uses of computer vision without the headaches of mastering machine learning algorithms or managing expensive computations.
You won’t need to be a C++ guru or know anything about statistical machine learning algorithms to start using laboratory-grade computer vision tools for your own creative uses. Training at your fingertips The “killer feature” of VMX is an effortless method for training your own object detectors, directly in the browser.
By waving an object in front of your laptop’s screen, you will be able to train your own object detector in a matter of minutes. Creating a new object detector requires drawing a few selection boxes directly over the input video stream and then spending some time in “learning mode.” While you are in learning mode, the detector continues to run in real-time while learning about the object, making it ready for your application in a matter of minutes.
You can run multiple detectors in real-time, use the GUI to make them faster or more robust, and most importantly, you can always improve your object detector later by enabling “learning-mode.” Here is an example of the model library which lets you select pre-trained object models.
To help you train an object detector in a very difficult scenario (such as one Southpark cartoon character versus another), we built an advanced model editor which lets you visually tweak the learned model.
VMX API and vision-as-a-service By running the most expensive computations on our servers, you will be able to use VMX technology on a variety of different computers and hand-held devices, as long as each device has a camera, an internet connection.
We have witnessed amazing things built with computer vision technology and want to let the whole world experience computer vision without the typical pains of using laboratory-grade technology.
In order to deliver a high-quality ad-free product, we need to fully focus on VMX development without working on side projects to account for the cloud computing bills inherent in this project.
VMX Project: Computer Vision for Everyone (back us on kickstarter!)
Webapp for real-time training of visual object detectors and an API for building vision-aware apps.
The VMX project was designed to bring cutting-edge computer vision technology to a very broad audience: hobbyists, researchers, artists, students, roboticists, engineers, and entrepreneurs.
Not only will we educate you about potential uses of computer vision with our very own open-source vision apps, but the VMX project will give you all the tools you need to bring your own creative computer vision projects to life.VMX gives individuals all they need to effortlessly build their very own computer vision applications.
Because we believe groundbreaking technology needs revolutionary creativity, our mission statement is simple: Let our vision empower your vision.In order to make the barrier-of-entry to computer vision as low as possible, we built VMX directly in the browser and made sure that it requires no extra hardware.
Which company has the best image recognition APIs in the market place today? What are they charging?
An Image recognition API allows you to use the image recognition technology into a particular software or application to identify the images and annotate them into machine language and human readable language.
Because the main object of such API is to recognize the image and describe the physical appearance and other important attributes of the figure precisely to make it understandable for AI based machines.
Currently there are six top well-known Companies has developed best image recognition APIs in the market offering the image recognizing service at lowest charges with high-quality description with best accuracy.
Cogito Tech is one of them providing image annotation service using the best tool and best API to recognize the image with accurate descriptions giving the most relevant for the end-users.
In order to be ready for the final you will have to prototype your MVP (Focus on the key feature that will make your customer to come back and use your product again), launch it, market it to your target customers, define metrics, collect metrics and statistics, analyze the metrics and refine your pitch deck (we will provide a template that you will need to fill), show traction to panel of investors.
As most of you already started creating wireframes and the coding efforts I strongly recommend to use these tools and services: One of the complete sources of tools for startups is shown by Steve Blank in his blog post […] LikeLike
- On 24. september 2021
VMX Project: Computer Vision for Everyone (back us on kickstarter!)
Webapp for real-time training of visual object detectors and an API for building vision-aware apps. Let our vision empower your vision.
VMX Project: Detecting Southpark Characters
VMX: Webapp for real-time training of visual object detectors and an API for building vision-aware apps. Here we show a longer clip of detecting south park ...
VMX Project: Detecting France, Paris, and Notre Dame
VMX: Webapp for real-time training of visual object detectors and an API for building vision-aware apps. Here we show a longer clip of detecting three different ...
SentiSight object recognition and computer vision technology demonstration
Augmented and extended reality applications can use SentiSight for place identification, product or brand recognition, smart toys and other implementations.
VMX Project: Turning hands into Pong Controllers (now on Kickstarter!)
VMX: Webapp for real-time training of visual object detectors and an API for building vision-aware apps. Here we show a clip of the vision.ai founders, Geoff and ...
Barcodes: Realtime Training and Detection with VMX
In this VMX screencast, witness the creation of a visual barcode detection program in under 9 minutes. You can see the entire training procedure -- creating an ...
VMX Project GUI: Live screencapture of hand/eye detection + an "A" detector
In this video, we show a live screen capture of me, Tomasz, using the VMX GUI and running the visual object detection server locally (notice the URL is ...
VMX Project: Smile Detector
In this video, a smile detector is applied to the "I Smile" YouTube video by Kirk Franklin. The smile detector was trained on my own smile as well as several ...
Object detection, very fast and robust blurry 1D barcode detection for real-time applications
This video shows a very fast and accurate blurry 1D barcode detection, an average execution time of 13.5 ms per image frame using a webcam for image ...
Image Recognition and Python Part 4
This is the fourth video to my image recognition basics series. Image recognition can be used for all sorts of things like facial recognition, identifying what is in ...