Implement Custom Dataset onto YOLO Algorithm

[JasonDCox]

Description

Find and implement a custom dataset into the YOLO algorithm to replace the universal dataset. Dataset should be focused on animal detection or pet breed detection and run on the NVIDIA Jetson Nano.

Acceptance Criteria

• Research the process for creating custom data with the YOLO algorithm and be able to explain the process
• Find a dataset that can be used for both the YOLO and Tensorflow algorithms
• Train the weights for the dataset so that it can be downloaded and run through the darknet repository
• Test effectiveness on the Jetson

References

• https://github.com/AlexeyAB/darknet
• https://www.youtube.com/watch?v=NTnZgLsk_DA

[JasonDCox]

Update: Failed to implement training on a VM or google colab. Had a setback but have what I think is a working system for training on the Jetson, however, this is highly inefficient and is a last option. Still need to test the effectiveness of trained weights once produced.