v1.3.0

• Refactor notebooks to split dataset preparation, training and tracking
• Use ultralytics' tracking algo instead of yolo-tracking
• Remove Google colab notebooks
• Add more datasets for training and evaluation

v1.2.0 - Google Image dataset

• Fix google scraping utils
• Create a dataset of annotated military vehicle images with four classes: AFV, APC, MEV & LAV

Dreambooth finetuning for tank image generation

• Add a notebook to train dreambooth for generating tank images from a text prompt
• Release trained dreambooth model weights

v1.0.0 - First models using public datasets

First version of adomvi with trained models (YOLOv8 nano and large) using ImageNet and CommonImage datasets.
Only one class in models: tank