A comparative study of Faster R-CNN and YOLOv5 on Pascal VOC 2012, analyzing mAP, speed, and detection quality to understand the trade-offs between accuracy and real-time performance in object detection models.
comparison faster-rcnn object-detection model-evaluation model-training mean-average-precision bounding-box pascal-voc2012 detection-accuracy yolov5 inference-time
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Updated
Apr 10, 2026 - Jupyter Notebook