What are the challenges in developing effective and reliable XAI methods for complex object detection models?

Request PDF | Application of QR Code Detection and Decoding to secure Cloud Storage using Darknet and YOLO | Cloud storage is an inconsistently rising ... Vehicle Classification and Tracking Using Convolutional Neural Network Based on Darknet Yolo with Coco Dataset. AI and Big Data in Engineering Applications ... Feb 4, 2025 ... With tools like OpenCV for image processing and YOLO for real-time object detection, eye tracking becomes not only accurate but also efficient. Apr 27, 2021 ... This serves as a tutorial for how to use YOLO and Darknet to train your system to detect classes of objects from a custom dataset. Compile YOLO-V2 and YOLO-V3 in DarkNet Models¶ · Choose the model¶ · Download required files¶ · Import the graph to Relay¶ · Load a test image¶ · Execute on TVM ... Mar 28, 2024 ... ... YOLO Fastest 1.1, YOLOv3-tiny-PRN, YOLOv4-tiny, YOLOv7, and DenseNet121-YOLOv3. The training process utilizes the Darknet algorithm to ... Aug 7, 2022 ... Farhadi, “YOLO: Real-Time Object Detection,” 2021; [https://pjreddie.com/darknet/yolo/]. Google Scholar. [8]. A. Bochkovskiy and Y. wang, et ... For more pretrained networks in MATLAB®, see Pretrained Deep Neural Networks. DarkNet-53 is often used as the foundation for object detection problems and YOLO ... Mar 15, 2021 ... Darknet: Open source neural networks in c. 2013. [13] Atienza, R. (2020). Advanced Deep Learning with TensorFlow 2 and Keras: Apply DL, GANs ... Jan 6, 2020 ... Darknet is mainly for Object Detection, and have different architecture, features than other deep learning frameworks. It is faster than many ...