This repository contains three object detection models based on YOLOv5l and YOLOv8l architectures. The images in the dataset were taken from anime and art, with manga pages added to AnimeHeadsv3.
Versions
AnimeHeadsv3
Description: The third and last version of the project based on YOLOv8l. The training set contains 8037 images.
Augmentation parameters:
Outputs per training example: 3
Flip: Horizontal
Saturation: Between -40% and +40%
Blur: Up to 4px
Noise: Up to 4% of pixels
Example images:
Example image 1
Example image 2
Example image 3
Model file: animeheadsv3.pt
AnimeHeadsv2
Description: The second version of the project based on YOLOv8l. The training set contains 4632 images.
Augmentation parameters:
Outputs per training example: 3
Blur: Up to 2.75px
Noise: Up to 5% of pixels
Example images:
Example image 1
Example image 2
Example image 3
Model file: animeheadsv2.pt
AnimeHeads
Description: The first version of the project based on YOLOv5l. The training set contains 886 images.
