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YoloV5 vs YoloV7

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Yolo V5L vs YoloV7 comparison
As you all know Yolo is popular algorithm for object detection and YOLO v7 is the newest addtion to the family.
Recently I did an experiment to see which yolo performs better. Candidates were YoloV5L and YoloV7.
The dataset I used for the comaprision is Self Driving Car Dataset from Roboflow. This dataset comes with pre annotated images. Due to limitations on Google Collab I have used 10000 images for training and 1000 images for testing.
Parameters:
Image size : [640 x 640]
Epoch : 50
Batch size: 20 for yolo v7 and 19 for yolo v5
Results:
Training time: Yolov5 is faster to train and training was completed in 5 Hrs 44 min while Yolov7 took 8 hors and 10 mins.
Inferece or detction time: Here Yolov7 is winner it is much faster than Yolov5L. Also the results are more accurate in Yolov7.
For following video it took 13 sec for yolov7 to complete the detection and 22 sec for Yolo v5L.
#yolo, #objectdetection ,#yolov5 ,#yolov7, #computervision ,#roboflow
As you all know Yolo is popular algorithm for object detection and YOLO v7 is the newest addtion to the family.
Recently I did an experiment to see which yolo performs better. Candidates were YoloV5L and YoloV7.
The dataset I used for the comaprision is Self Driving Car Dataset from Roboflow. This dataset comes with pre annotated images. Due to limitations on Google Collab I have used 10000 images for training and 1000 images for testing.
Parameters:
Image size : [640 x 640]
Epoch : 50
Batch size: 20 for yolo v7 and 19 for yolo v5
Results:
Training time: Yolov5 is faster to train and training was completed in 5 Hrs 44 min while Yolov7 took 8 hors and 10 mins.
Inferece or detction time: Here Yolov7 is winner it is much faster than Yolov5L. Also the results are more accurate in Yolov7.
For following video it took 13 sec for yolov7 to complete the detection and 22 sec for Yolo v5L.
#yolo, #objectdetection ,#yolov5 ,#yolov7, #computervision ,#roboflow