this repo test models to proove state of art of object detection and classification
we test 5 models :
- Xception
- Yolov5
- Yolor
- Yolov6
- Yolov7
- Yolov8 (only for white cells dataset)
On 3 dataset :
- standforddog dataset (http://vision.stanford.edu/aditya86/ImageNetDogs/)
- road signs (https://arcraftimages.s3-accelerate.amazonaws.com/Datasets/RoadSigns/RoadSignsPascalVOC.zip)
- white cells (https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7182702/#!po=70.0000)
https://pubmed.ncbi.nlm.nih.gov/31425939/
white blood reference :
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7182702/#!po=70.0000
https://data.mendeley.com/datasets/snkd93bnjr/1
https://raabindata.com/free-data/
https://www.nature.com/articles/s41598-021-04426-x#Sec5
Results :