road damage detection

I want to run correctly the following code : https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fdevelopers.arcgis.com%2Fpython%2Fsamples%2Fautomate-road-surface-investigation-using-deep-learning%2F&data=05%7C01%7C201200234%40uaeu.ac.ae%7C4c76b73c464b4a63140008dacc5eb304%7C97a92b044c8743419b08d8051ef8dce2%7C0%7C0%7C638047004341873806%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=Cws8pLX68RSUO6HeNyQuXqQUmu80sgfOq0f7fcIqnVM%3D&reserved=0

using this data . https://mycityreport.s3-ap-northeast-1.amazonaws.com/02_RoadDamageDataset/public_data/IEEE_bigdata_RDD2020/train.tar.gz

I want this be runned in jupiter ; and explained in details.50$ #### please if you want more don't waste your bid