Military Aircraft Detection with YOLOv8

False Positive(wrong class)

F22, F22, F35, F35 → F35, F35, F35, F35
F14, F18, Rafale, F15 → F14, F18, F15, F16

NMS(Non-maximum Suppression)

Detection	YOLOv8n	YOLOv8s	YOLOv8m	YOLOv8l	YOLOv8x
v8 + MSE + CA	?	?	8.47	?	?
v8 + CIoU + CA	?	?	8.48	?	?
v8 + SIoU + CA	?	?	?	?	?

How to train

1. Install Requirements

$ pip install -r requirements.txt

2. Download dataset

$ curl -L "https://universe.roboflow.com/ds/m5xfYLK7xS?key=bNe2NdTwqq" > roboflow.zip; unzip roboflow.zip; rm roboflow.zip`  

3. Data Preprocess

$ python3 preprocessor.py

4. Set config.py values and Train

$ python3 train.py

More About

em-1001.github.io Military Aircraft Detection with YOLOv8

Reference

Web Link

One-stage object detection : https://machinethink.net/blog/object-detection/
YOLOv5 : https://blog.roboflow.com/yolov5-improvements-and-evaluation/
YOLOv8 : https://blog.roboflow.com/whats-new-in-yolov8/
mAP : https://blog.roboflow.com/mean-average-precision/
SiLU : https://tae-jun.tistory.com/10
Weight Decay, BN : https://blog.janestreet.com/l2-regularization-and-batch-norm/
Focal Loss : https://gaussian37.github.io/dl-concept-focal_loss/
　　　　 　https://woochan-autobiography.tistory.com/929
Cross Entropy : https://sosoeasy.tistory.com/351
DIOU, CIOU : https://hongl.tistory.com/215
QFL, DFL : https://pajamacoder.tistory.com/m/74
YOLOv8 Pytorch : https://github.com/jahongir7174/YOLOv8-pt

Paper

Real-Time Flying Object Detection with YOLOv8 : https://arxiv.org/pdf/2305.09972.pdf
YOLO : https://arxiv.org/pdf/1506.02640.pdf
YOLOv2 : https://arxiv.org/pdf/1612.08242.pdf
YOLOv3 : https://arxiv.org/pdf/1804.02767.pdf
YOLOv4 : https://arxiv.org/pdf/2004.10934.pdf
YOLOv6 : https://arxiv.org/pdf/2209.02976.pdf
YOLOv7 : https://arxiv.org/pdf/2207.02696.pdf
CIoU : https://arxiv.org/abs/1911.08287
QFL, DFL, GFL : https://arxiv.org/abs/2006.04388