Useful Python Notebooks (.ipynb) are in source_code/notebooks folder and related research papers are in research_papers folder.
- FasterViT
- YOLOv8
- Weighted Boxes Fusion
- Object Detection Metrics
- VisDrone Dataset
- Open Image Dataset V7
- YOLOS
- Vision Transformers Collection
- Pytorch Image Models
- Reference: YOLOv8 Backbone Replacement
- https://learnopencv.com/weighted-boxes-fusion/
- https://learnopencv.com/comparing-kerascv-yolov8-models/
- Mean Average Precision
- Comparison of CNN and ViTs
- https://www.freecodecamp.org/news/how-to-detect-objects-in-images-using-yolov8/
- https://blog.roboflow.com/whats-new-in-yolov8/
- Pretraining Faster RCNN ViT Detection Model on Pascal VOC
- Using Any Torchvision Pretrained Model as Backbone for PyTorch Faster RCNN