A pre-trained convolutional neural networked designed to see mobs in Minecraft!

From this, to this!

We grab the two images.

We then train the model using the intersection-over-union metric. Then after some training…

We create model that can detect where the mob is on the screen.

Meeting Times

Group Meetings: Thursday at 6:30pm and Saturday at 6:30pm

Resources

• Source code

• Link to our introductory link to object detection

• Link to PyTorch Implementation

• Link to another object detection library

• Link to main YOLOv3 algorithm

• A research paper about how YOLOv3 works

• How to implement your own custom model

• What is transfer learning?

• Overview of CNNs

Reports:

• Proposal
• Status
• Final