salim-benhamadi/ieee-ensi-student-branch-go-data-science-gods

Classification of images of streets in South Africa that either have potholes (positive response) or do not (negative response) using FastAI # Brief Description Potholes have become a huge problem for most drivers. With the South African government spending over R22 billion over the past 3 years on pothole repair programs and the Automobile Association(AA) acknowledging more than 5% of road deaths to unmaintained road structure (potholes). The objective of this challenge is to create a machine learning model to accurately predict the likelihood that an image contains a pothole. # 💽 Data The data contains images of streets in South Africa that either have potholes (positive response) or do not (negative response). The data have been split into a test and train set. The training set contains 4,026 images of test set contains 1,650 images. # 🛠 Tech stuck - Pytorch - FastAI - Pandas - Alexnet # 🏆 Competition leaderboard - Look for the team name : Data'Rox - Rank : 2/52 🏅 - Competition link : Zind | Name | Zindi ID | | ----------------- | ------------------------------------------------------------------ | | Salim Ben hammadi| milaSneB | | Karim Omrane| mokhiferagh | | Sahar Tekaya| sahartekaya |