yolov7+bifpn

Yolov7 Bifpn is a deep learning algorithm that combines the YOLOv7 object detection model with the BiFPN (Bidirectional Feature Pyramid Network) architecture. YOLOv7 is a state-of-the-art object detection model that uses a single neural network to predict bounding boxes and class probabilities for multiple objects in an image. BiFPN is a feature pyramid network that integrates bidirectional feature fusion and pyramid construction to improve the accuracy and speed of object detection models. By combining these two models, Yolov7 Bifpn achieves higher accuracy and faster processing times compared to previous object detection models.