What is Bleed-AI:

Its a startup about Computer Vision. Its for all engineers, scientists, hobbyists and practitioners who are interested in computer vision, machine learning and deep learning. The aim is to provide you guys with hands on tutorials and with just the right mix of theory and math to lift you off the ground and make you start utilizing Computer Vision Skills efficiently and  as fast as possible. In this blog I specifically aim to publish tutorials that are unique, useful and opens up your mind to build some really interesting projects on top of it. 

This website also offers an Excellent Course in Image Processing and Computer Vision  (Video Lectures are in Urdu/Hindi ). This course will take anyone with just functional programming knowledge (In any language) to be a solid Computer Vision Practitioner who can build really interesting Computer Vision powered Applications, products or projects and add Computer Vision skills to their resumes to make it a lot more attractive. 

One of the things that makes this course stand out is that I go into the foundations of Image processing and Computer Vision, you learn from the ground up what the image is and how to manipulate it at the lowest level and then you gradually built up  from there in the course, you learn other foundational techniques with their theories and how to use them effectively. Its not like those courses in which you just learn to build an image classifier or an object detector with Tensorflow and call it a day. This course is much more than that, once you look at the Course Outline you’ll see it by yourself.

Origin Story:

Its long but I promise its not gonna be boring

Hi, Taha Anwar here, back in the day I was an android developer and a roboticist (in the making), So this One time I was working with a Robotics startup as a research Intern and the CEO asked me to integrate some Vision Capabilities in their latest robot called “Elision”, Believe it or not this robot greeted the guests in the CEO’s wedding recently ( this had caught our Media’s eye and it became popular). Now this enthusiastic (but very talented) CEO wanted this bot to have Vision Functionality, so some more interesting feats can be performed by it.

Now this job was tasked to me, an intern (primarily because this project wasn’t exactly meant for production any time soon), Now I was really excited and started working, at this time I hardly knew anything about ML and DL etc. In my mind all the smart vision systems went under the umbrella of image processing. So I had hard time making the vision system for the bot even though I was decent developer at the time, the thing that was bugging me was the underlying theories of how these vision algorithms were working. After a month or so I was able to deliver something to the company but it was hardly useful enough to be deployed and even though I could see that with some struggle I could make the system work but the problem was that I couldn’t get the accuracy or the performance out of it as I had no idea how to tune these algorithms without  understanding the theory.

One really good thing that happened during this time was that I was introduced to the magnificent world of Machine learning, Deep learning and computer vision. I was fascinated by it, I left the startup and started digging into ML, I started the journey from  the famous  Andrew Ng ML course, I went on to do a couple of more courses and specializations and was well on my way to be a Data Analyst when I reminded myself why I choose AI in the first place, the answer was Computer Vision, the magnificent ability of machines to see and perceive this world, So I started pondering in computer vision again, this time with the right theoretical background. 

Sure enough things came easy this time and in no time at all I started making some interesting projects in Computer vision which also motivated to make more projects and publish them, at this time I thought to myself that since computer vision is revolutionizing the world, It had an excellent job market and lots of opportunities, so why not share my knowledge side by side as I continue to advance my own understanding. So I picked a name Bleed-AI (Bleeding Edge Artificial Intelligence), started a page and shared my open source projects there and started creating a computer vision course.

After Months of Studies, Work and Research, a Comprehensive Image processing & Computer Vision course was ready for launchI launched and Started teaching in Universities, Starting with Sir Syed University ( A reputable University in Karachi). It went Pretty Well and I got an Excellent response.

In the months that followed, I continued Publishing Open Source code, was invited as a guest speaker in many Universities, held seminars, I even published my own face detection convenience library on pypi. I Also started a Computer Vision Consultation Business through which I helped out lots of students, professionals & Startups. I also hired some interns to help me out. I was also a speaker in that year’s Pycon Pakistan.  Then in Order to reach a wider audience I launched an Online version of my course locally in Pakistan and sure enough I got a bigger audience and the course Content had gotten even better.

 At this time, Satya (OpenCV’s Interim CEO) reached me and I Joined OpenCV.org Course Team. So in the following months I integrated with the OpenCV team, during this time, my Skills reached new heights and I furnished my own Course and took it to a whole different level.

Since the videos in my course are in Urdu/Hindi language, my computer vision course right now is best suitable for Pakistani and Indian audiences. In the making of this course I used all the best practices I’ve learned along the way, so I have no doubt claiming that this course is one of the best you’ll find in Computer Vision and that too delivered in Urdu/Hindi language. Currently I’m still working with the brilliant Opencv.Org course team.

As of now I’m focusing more on publishing excellent tutorials to teach some really interesting computer vision topics, I should have started this long ago as I know now that a high quality tutorial about a project is a lot more impact full to people than just Open Sourcing projects. Now to achieve the dream of spreading Computer Vision across the masses I’ve reached out to some Excellent Engineers to help me out.

Pardeep Kumar: Pardeep is a full time computer vision engineer at Bleed-AI, he’s also a certified data Analyst and a Google DSC lead. He helps out in Research and experimentation. He is also involved in some content creation of the course.

Linus Dominc: Linus is our Support Engineer, He makes sure the site is up and running, all the plugins are working properly and all online students are satisfied. He also helps out in lots of other tasks, including course content refinement.

Its fair to say without these guys Bleed-AI cannot be functional

The courses I’m offering here helps me in:

  • Supporting this site to be up and running so I’m able to publish Free tutorials.
  • Supporting me and my team members.

Finally Meet Team Bleed-AI at their miniature Attic office, we’re a really small team but with mighty big dreams.

If you any queries or concerns please feel free to contact me at this page, or email at info@bleedai.com.
I hope you have a great time at this site.

Our Team

Taha Anwar

Computer Vision Engineer/Scientist, Mensan, Tech Speaker, & Robotic Enthusiast
Contact: taha@Bleedai.com

Pardeep Kumar
(Computer Vision Engineer)

Google DSC Lead , Data Analyst, Tech Speaker, Social Influencer, ML Aficionado & Computer Vision Enthusiast
Contact: pardeep@Bleedai.com

Linus Dominic
(Support Engineer)

BSCS, WordPress Developer, Content Writer & Python Enthusiast
Contact: linus@Bleedai.com