Development of a Deep Learning–Based Detection Model for Barn Environments

Are you excited about applying deep learning in real-world environments? During this internship, you will contribute to the development of the next generation of autonomous farm robots by creating and evaluating a deep learning based detection model for complex barn environments.

Our robots operate in indoor and outdoor environments that are dynamic, cluttered, and highly variable from barn to barn. Understanding these environments is a key challenge for autonomous robotics. During this internship, you will work with real-world datasets captured in barn environments and gain hands-on experience with the complete machine learning workflow.

Your responsibilities include:

• Developing, training, and evaluating a deep learning based detection model
• Working with real-world datasets captured in barn environments
• Exploring and preprocessing data for machine learning applications
• Analyzing model perf...