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JAThe is exactly what computer vision was made for #naruto #computer #code #tech #computervision
@james.uzumaki_
#Computer Vision Guide
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144.6K
BOComputer vision demo with Arduino and OpenCV.
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#arduino #arduinouno #arduinoproject #arduinoprogramming #opencv #computervision #arduinoopencvproject #electronics #microcontroller
@boiling.brains
66.1K
PIComputer vision 101: training a model to detect when someone touches grass using YOLO 🤖🌱 #tech #machinelearning #ai
@pikacodes
62.5K
TEMarco Franzon created a web app to teach people computer vision basics.
It will allow users to upload an image or video stream and instantly view it as a numerical pixel matrix, with options to display values in RGB, Hex, or Grayscale formats.
It features predefined convolution kernels applied in real-time:
- Sobel operator for edge detection (computes gradients to highlight boundaries)
- Gaussian Blur: averages neighboring pixels with weights to reduce noise
- Sharpen: boosts local contrast to enhance details
Follow @techwith.ram for more such contents.
🎬 mfranz_on (X)
@techwith.ram
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PR🔥 What is Computer Full Explain 🤔
#ExcellenceInEducation #progresscomputer #exceltricks #exampreparation #exams
@progresscomputeredu
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ANComputer Vision is an important field of Artificial Intelligence that allows computers to see and understand images and videos. 🤖
It helps machines analyze visual information and recognize objects, faces, and patterns just like humans do.
Computer Vision is widely used in technologies such as face recognition, medical imaging, self-driving cars, and security systems.
Because of these capabilities, Computer Vision plays a major role in many modern AI applications.
Can you name one technology that uses Computer Vision?
Comment your answer below 👇
#ComputerVision
#ArtificialIntelligence
#AITechnology
#AIForStudents
#AngadTechAcademy
@angad_tech_academy
45.8K
DE“Computer Vision”: Coolest thing in AI!!🔥
#datascience #datasciencecareers #airesources #airesource #computervision #opencv #yolov8 #cnn #computervisionengineer #datascienceeducation #datasciencelearning #datasciencecourse #careerguidance #careertips #explore #explorepage #fypage #fyp #fypシ #learnings #techresources #techlearnings #learningresources #usefulresources
#careerinai #selfdrivingcar #opencv #deeplearningalgorithms
@deepanshu_o7
575.4K
COComputer vision roadmap 💻
So if you’ve been learning deep learning for a while, then you probably know that you either go computer vision or NLP. Rarely, you can go both if you’re ambitious like I aspire but fail to be!
Save this post, and let’s first go into the definition:
Computer vision is a field of AI that enables machines to interpret and understand visual data from the world, such as images and videos.
Computer vision engineers develop algorithms and systems to automate tasks like image classification, object detection, and image segmentation, transforming visual data into actionable insights for various applications including healthcare, autonomous driving, and security.
To start learning computer vision, you should have some knowledge from:
Programming, preferably Python
Probability and statistics + linear algebra, it’s super-important
Basics of data exploration and analysis
Classical machine learning
Neural networks concept, particularly ANNs
So, now that we established the basics, here’s what you need to learn:
Neural Networks Basics: Understand architecture, training fundamentals.
Convolutional Neural Networks: Image-specific neural network structures.
Advanced CNN Architectures: Explore ResNet, Inception, EfficientNet.
Image Classification: Categorize images into predefined labels.
Object Detection: Locate and identify objects.
Image Segmentation: Partition images into meaningful segments.
Transfer Learning: Adapt pre-trained models for tasks.
Generative Models: Create new data samples.
3D Vision: Depth estimation, 3D reconstruction techniques.
Project Development: Real-world applications, portfolio projects.
I know that this can look overwhelming at first, but it doesn’t have to be.
I want to share a limited-time offer for everyone struggling with getting started. In the next 72h I’ll be sharing my Computer Vision AI specialization roadmap for everyone who needs a paved way for learning, but doesn’t know how.
Make sure to follow @codingmermaid.ai
Comment computer vision
and I’ll send you the invitation to access the roadmap!
Looking forward to your learning journey, cheers!
Are you team computer vision or team NLP? 🧐
@codingmermaid.ai
852.8K
TEThis guy just built a webcam-based eye tracker that works?
He used lot of Linear algebra & lot of geometry.
You first need to determine where the eye centers are. Know the position of the center of the pupil or iris for each eye.
Project a ray from each eye center through each pupil center.
- Follow @techwith.ram for more such content related to tech and resources.
🎥 jeoresearch (YT)
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#Python #DataScience #Data #Laravel #Rust #Go #Golang #Nextjs #React #Javascript #Programming #codingchallenge #programmer #codingtips #clanguage #java #javaprogramming #html #css #python #javascript #php #reelfeelit #developer #cprogramming #programminglanguage #programmingmemes #cpp #pythondeveloper #react #programminglife
@techwith.ram
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TUComment "CV" to get resources to learn computer vision :)
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#computervision #cstudents #100DaysOfCoding #fyp #explore
@tuba.captures
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BRHow do Desktop Computers Work?
Have you ever wondered how all the hardware inside a computer fits together? Well in this video we take apart a modern computer and examine all the hardware. We'll look at things like the CPU, the GPU, the Motherboard, the DRAM, the SSDs, the Hard Disk Drives, the Power Supply, the Water Cooler, and everything else.
#pcbuild #computerhardware
@brancheducation
24.0K
STusing roboflow rf-detr for object detection and smolVLM to describe the scene. dataviz done in vanilla javascript. all running locally on my macbook air m2
Song: Dream - Ryuichi Sakamoto
#computervision #machinelearning #cs #computerscience #creativecoding
@stereo.drift
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