Traffic sign recognition notebook for Udacity's self-driving car program
-
Updated
Jul 20, 2017 - HTML
Traffic sign recognition notebook for Udacity's self-driving car program
Computer Vision Course Notebooks, 2022
Notebook using Sklearn to recognize bird species based on their images.
This repo contains the notebooks regarding our deep learning based image recognition projects with my students in Spelman College
Collection of individual scripts and ipython notebooks of my scratch work towards implementing convolutional neural networks in Keras and Tensorflow.
This repo contains an individual project accomplished during the course of STAT 5297 Image Analysis. It includes a project report, python script and Jupiter notebook file which consists of the workflow of this project.
A repository consisting Jupyter notebooks and Python files running the two ACNN models namely, (a) ACNN Model WITH Visual Attention and (b) ACNN Model WITHOUT Visual Attention. The models were trained on Rice Plant Disease images.
DeepLearning
My notebooks on the book "Deep Learning with Python" by Francois Chollet (2018)
Jupyter notebook collection of various assignments done while learning ML & DL
Notebook references in learning how to build image recognition models as a beginner from the fundamentals to application
Computer Vision: Vehicle Detection
Contains the Jupyter notebook which predicts the type of art from the available classes.
Contains all the experiments conducted in St. Francis Institute of Technology for Sem - VI of EXTC branch
iPython notebook for training a Keras model on the CIFAR-10 dataset
Jupyter notebooks for practicing Python data analysis and visualization with Matplotlib, NumPy, Pandas, SciPy, and Seaborn.
The Plant-Image-Batch-ID is a Python-based Jupyter Notebook designed for automated plant identification from a directory of images that utilizes the PlantNet API.
A self contained jupyter notebook demo showing how Tesseract OCR & Imagehashing can be used to recognize Magic Cards. This demo is meant to show how slow & inefficient these methods can be.
Code of our recently published attack FDA: Feature Disruptive Attack. Colab Notebook: https://colab.research.google.com/drive/1WhkKCrzFq5b7SNrbLUfdLVo5-WK5mLJh
Includes PyTorch -> Keras model porting code for DeiT models with fine-tuning and inference notebooks.
Add a description, image, and links to the image-recognition topic page so that developers can more easily learn about it.
To associate your repository with the image-recognition topic, visit your repo's landing page and select "manage topics."