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JeffWang0325 / Image-Identification-for-Self-Driving-Cars

Star 41

🖍️ This project achieves some functions of image identification for Self-Driving Cars. First, use yolov5 for object detection. Second, image classification for traffic light and traffic sign. Furthermore, the GUI of this project makes it more user-friendly for users to realize the image identification for Self-Driving Cars.

python deep-neural-networks computer-vision deep-learning tensorflow pytorch yolo tkinter self-driving-car webcam convolutional-neural-networks traffic-sign-classification webcam-capture dr tkinter-gui tkinter-python traffic-light-classification real-time-detection droidcam yolov5
  • Updated Nov 18, 2024
  • Python

akshitadixit / Retinopathy

Star 8

This is a Categorical Detection and Prediction Task based on subset of a Kaggle dataset from Eye Images (Aravind Eye hospital) - APTOS 2019 Challenge. The goal is to predict the Blindness Stage (0-4) class from the Eye retina Image using Deep Learning Models (transfer learning via resnet50). This Automated System would speed up Blindness detecti…

deep-learning resnet retinopathy diabetic-retinopathy-detection resnet-50 retina-images dr diabetic-retinopathy
  • Updated Jun 4, 2021
  • Jupyter Notebook

Smendowski / data-embedding-and-visualization

Star 2

Visualization and embedding of large datasets using various Dimensionality Reduction (DR) techniques such as t-SNE, UMAP, PaCMAP & IVHD. Implementation of custom metrics to assess DR quality with complete explaination and workflow.

visualization metrics reduction pca t-sne mds autoencoders isomap dr trustworthiness dimensionality pacmap sheppard ivhd dimiensionality co-ranking drquality knngain
  • Updated Jul 6, 2022
  • Jupyter Notebook

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