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🏠 Home 🐍 Python IDE 🧠 ML Studio 🎮 Block Coder ⚡ Arduino Gen 👁️ CV Studio 🌐 Web IDE 🔬 Physics Lab 📐 Maths Lab 🪐 Astronomy

👁️ CV STUDIO MediaPipe + TF.js

Real-time computer vision — live camera & uploaded image analysis

VISION ACTIVITIES
📷 Live Camera
🎯
Object Detection
COCO-SSD · 80 classes
🖼️
Image Classification
MobileNet · 1000 classes
😊
Face Detection
MediaPipe · bounding box
🕸️
Face Mesh
MediaPipe · 478 landmarks
🤸
Pose Landmark
MediaPipe · 33 keypoints
✋
Hand Landmark
MediaPipe · 21 pts / 2 hands
🤞
Gesture Recognition
MediaPipe Gesture API
📁 Upload Image
🎯
Detect Objects
COCO-SSD on photo
🔍
Classify Image
MobileNet top-5
✋
Hand Landmark
MediaPipe on photo
😊
Face Mesh on Image
MediaPipe 478pts on photo
🤸
Pose in Image
MediaPipe on photo
🎯 Object Detection — COCO-SSD detects 80 object categories with bounding boxes and confidence scores.
COCO-SSD — FPS
👁️
CV STUDIO READY
Click Start Camera for live detection
or Upload Image to analyse a photo
MediaPipe Tasks + TensorFlow.js — fully in-browser
// Start camera or upload an image to see results