Anime Head Detection Models
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:
Model file:
animeheadsv3.weight
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:
Model file:
animeheadsv2.weight
AnimeHeads
Description: The first version of the project based on YOLOv5l. The training set contains 886 images.
Augmentation parameters: None
Example images:
Model file:
animeheads.weight