This is a flood detection image classification project. The goal is to compare multiple deep learning architectures for the same task and provide a clear, interactive way to test them.
-
Updated
Jun 19, 2026 - Jupyter Notebook
#
coputer-vision
Here are 7 public repositories matching this topic...
-
Updated
Apr 17, 2026 - Python
EyeNet is a camera-first, real-time surveillance system intended for campus / institutional environments. It continuously processes a live video feed and converts computer-vision detections into actionable incidents: persisted audit records, real-time dashboards, and automated notifications.
computer-science opencv security database realtime databases python3 computer-architecture vector-search survailence ultralytics-yolo coputer-vision
-
Updated
May 31, 2026 - Python
AI-powered halal food detector that analyzes product photos using OCR, logo detection, and databases to determine halal status with confidence scoring.
python machine-learning ocr ai deep-learning fastapi halal supabase coputer-science vision-ai food-tech coputer-vision product-dectection openfoodsfacts
-
Updated
Mar 7, 2026 - TypeScript
AI-powered touchless computer control system using OpenCV, MediaPipe and SVM for real-time hand gesture and head movement interaction.
python opencv machine-learning accessibility svm human-computer-interaction assistive-technology gesture-recognition mediapipe mediapipe-facemesh mediapipe-hands coputer-vision
-
Updated
Jun 8, 2026 - Python
A computer vision project that performs real-world object detection and tagging using Connected Component Labeling (CCL) — applied to various real-world images including cars, coins, binary images, and more.
image-classification imageprocessing opencv-python bounding-boxes ccl connectedcomponentslabelling digitalimageproccessing coputer-vision
-
Updated
Apr 25, 2026 - Jupyter Notebook
This project uses YOLOv8 and OpenCV to perform real-time object detection using webcam input.
-
Updated
May 1, 2026 - Python
Improve this page
Add a description, image, and links to the coputer-vision topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the coputer-vision topic, visit your repo's landing page and select "manage topics."