Department of Computer Engineering
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Browsing Department of Computer Engineering by Author "ABDULGHANI, ABDULGHANI MAWLOOD A.GHANI"
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Item A COMPARISON OF IMAGE DETECTION ALGORITHMS YOLO AND FASTER R-CNN IN DIFFERENT CONDITIONS(2022-06-13) ABDULGHANI, ABDULGHANI MAWLOOD A.GHANI; Dalveren, Gonca Gökçe MenekşeIn this thesis, we compare YOLOv4 with YOLOv3 and Faster R-CNN in terms of better object detection in both challenging weather conditions and darkness. Moving objects such pedestrians, cars, buses and motorcycles can be difficult to detect in rainy, foggy and snowy weather conditions or even at night. This study is aimed at evaluating the three modules to determine which perform best in such circumstances, bearing in mind that none of them was initially intended to perform in bad weather conditions or at night. This Study is done by utilizing Tesla P4 GPU, with 12GB RAM. We trained these algorithms with an Open-Image dataset, where YOLOv4 has scored the best results at 40,000 iterations, 72 mAP, and 0.63 Recall. On the other hand, YOLOv3 has scored maximum at 36000 iterations, 65.53 mAP, and 0.54 Recall. Finally, Faster R-CNN scored 36,000 iterations, 51 mAP, and 0.49 Recall. In terms of detection performance evaluation, YOLOv4 performed at 42 FPS, while YOLOv3 was at 37 FPS and Faster R-CNN at 10 FPS in video with 30 FPS. Based on the results, YOLOv4 has performed the best in comparison to YOLOv3 and Faster R-CNN.