Computer Vision
43 Threads
How do machines see? ππ€ Join me in this thread to learn how AIs βseeβ and classify images. Let's see what Convolutional Neural Networks (CNN) areπ§΅π§΅ https://t.co/4GBsE6vrQF
@bassemelnour Adam.ai- NLP, ML, Embedded Systems Affectiva - ML, Computer Vision, Speech Projects Agolo - NLP, ML AtomicaAI - ML, Computer Vision, 3D Graphics Avelabs - ML, Compute...
If you're building real-world Computer Vision/GenerativeAI system, folks at MIT have developed a silver bullet just for you! A Python Library that is: - Fully open-sourced! π₯ - W...
Become a Certified AI Engineer in 2023. Enroll for Free: Intro to Artificial Intelligence βhttps://t.co/L4TO8dfEGa Intro to Deep Learning: βhttps://t.co/1vEnGRtFDe Intro to Te...
AI-generated 3D scene created from photos/videos are insane. It's called #NeRfs and can be done with @LumaLabsAI or @nvidia Here's are 10 mind blowing video generated by AI: 1....
AI (π€) update for the past couple of days! π 1) @MetaAI released DINOv2 - v2 of their DINO system that uses self-supervised learning to learn features useful for various vision ta...
Computer vision had a lot of quick wins in bootstrapping massive datasets over the last decade: π¨ Image colorization - convert color photos to B&W π¬ Image superresolution - downs...
NVIDIA π€― Taking NeRFβs to the next level. βCombine neural fields with explicit meshes to enable neural reconstruction of urban scenes that support controllable relighting and ob...
While building a computer vision system, be it Stable Diffusion, DALLE-2 or an ImageNet classifier, problems remain same! Images can be: - Blurry - Duplicates - Dark - Low info -...
For absolute beginners all you need to know about: How do machine learning algorithms work for object detection in an image? - A must-read thread π§΅
Object detection is a fundamental problem in computer vision. Although Vision Transformers (ViTs) achieve state-of-the-art performance today, the history of object detection procee...
AI related Important terms you must know for UPSC Prelims: (Google and just understand meaning of these terms) 1. Generative Pre-training Transformer 2. Machine learning 3. Deep...
99% of data scientists have no idea what's in their data. They train their models and hope for the best, but reality catches up quickly: garbage in, garbage out. I found a soluti...
Researchers release ControlNet: control large diffusion models using inputs beyond just text prompts. You input: edge maps, poses, etc + a text prompt to output: highly specifi...
-> sketch image (generated from original image) + prompts -> img2img ControlNet -> πΌοΈ π€© https://t.co/2FAiyLsmxn
Some more consistency tests. Trying to push the number of variable changes I can make without losing the overall look of the model Would you say these models look alike/the same?...
what is ControlNet and how does it work? π https://t.co/5ZSWKk1RAa
I started my career in Data Science back in 2016 β³ Here's a list of courses that I took!! π§΅ππ»
Multimodal Deep Learning - New Book Multimodal learning(MML) is one of the hottest areas in AI research these days. MML has advanced a lot in recent times. We've seen models that...
Kornia is a Differentiable Library based on PyTorch. Today, we learn about Warping image using perspective transform, an important Computer Vision concept!! A Thread 𧡠π @kornia_...
ultra-modern generative aiπ¨οΈ: β’ AI2 β’ AI21 β’ mdm β’ gpt-J β’ gpt-3 β’ x-clip β’ bloom β’ cohere β’ gopher β’ dallβ’e 2 β’ craiyon β’ tabnine β’ jukebox β’ chatGPT *** β’ anthropic β’ codegee...
Kornia is a Differentiable Library based on PyTorch. π« Build a ππππ π«πππππππ in just a few lines of Python code using Kornia. A Thread π§΅π @kornia_foss https://t.co/7VsCUox8ws
Day 55 of #60daysOfMachineLearning π· Convolutional Neural Networks π· Convolutional Neural Networks (CNNs) are a type of artificial neural network that is specifically designed to...
Top 10 visual recognition APIs. A thread π§΅π
