UjjwalSaxena/Automold--Road-Augmentation-Library
This library augments road images to introduce various real world scenarios that pose challenges for training neural networks of Autonomous vehicles. Automold is created to train CNNs in specific weather and road conditions.
Jupyter NotebookMIT
Stargazers
- AlexandruBurlacuChisinau, Republic of Moldova
- danmartinez78
- denmoroz@mapbox
- DrBoltzmannIDUN Technologies AG
- duduOliverStony Brook University
- EmmanuelEzenwere@AroneTechnologies
- faizankshaikhStora Enso
- feihugis@Microsoft
- fly51flyPRIS
- forceshRussia, Moscow
- gdangeloAlterClass
- gogolgrind
- greed2411@skit-ai
- iraaditLiège, Belgium
- jhasumanZILA SHOP
- karolmajek@Cufix
- liviust@AIMultimediaLab
- merryHuntereagle.org
- mifril
- NeerajGulia
- nfsrulesParis region
- nithirojDeveloper
- pablovela5620Immersed
- pavelgoncharFyusion, Inc
- pedrodiamel@CESARBR
- roaffix@oblivion-finance
- rohts-patil@PhonePe
- slanderssonLondon
- ternausternaus.blog
- truskovskiyk@kyryl-opens-ml
- turpure
- valgurMilrem Robotics
- vehicularkech@vehicularai
- wbercodeBeijing
- xfqbuaaShanghai, China
- zhearing