Object detection is a computer vision task that involves identifying and locating objects within an image or video. YOLO (You Only Look Once) is a popular deep learning algorithm used for real-time ...

The YOLOv7 algorithm uses the Microsoft COCO dataset for training and validating their object detection model, and not all of these experiments use a pre-trained model. The developers used the 2017 ...

For example, some researchers have proposed using multi-scale CNNs or CNNs with attention mechanisms to improve the performance of object detection algorithms in underwater environments. Overall, ...

Thus, we proposed an algorithm based on a YOLOv7 single-stage object detector with a detection head to improve the detection effect of small objects and using a modified feature layer attention module ...

Remote sensing object detection faces challenges such as densely distributed objects, complex backgrounds, and significant variations in object scale, which result in issues like missed detections and ...

Keywords: tea leaf diseases, dual-level routing dynamic sparse attention mechanism, FasterNet, YOLOv7 algorithm, lightweight model. Citation: Ye R, Gao Q and Li T (2024) BRA-YOLOv7: improvements on ...