ImageDetection

Graduate project for CS200A(DS100) at UC Berkeley. Training a classifier for 20 classes using 1500 images.

Google Drive for datset

1. Data Cleaning

   • Reading and categorizing the image files

   • Using Scikit-Image

2. Feature Engineering

   • Exploratory data analysis of image classification features

   • Produce insightful graphs

3. Model Training

   • Develop models to classify images

   • Experimenting with different machine-learning methods

4. TensorFlow

   • Explore the future of computer vision