diff --git a/lab02_Gun_detection_fasterRCNN/README.md b/lab02_Gun_detection_fasterRCNN/README.md index 1e17eb9..c53012f 100644 --- a/lab02_Gun_detection_fasterRCNN/README.md +++ b/lab02_Gun_detection_fasterRCNN/README.md @@ -79,7 +79,7 @@ Faster R-CNN is a two-stage object detection model: - **Accuracy**: Faster R-CNN achieves high accuracy for detecting small or occluded objects like guns. - **Transfer Learning**: By leveraging a pre-trained backbone (ResNet-50 + FPN), the model performs well even with smaller datasets. -### The Architecture of Faster R-CNN +### The Architecture of Faster R-CNN ([Image Credits](https://miro.medium.com/v2/resize:fit:1100/format:webp/1*3AZI4cNNOaLjuk0c73v7zg.jpeg)) Architecture of Faster R-CNN