The classy YOLO series has a new iteration, YOLOv10, a new object detection model. The YOLO series is one of the most used models in the computer vision industry. So, what is YOLOv10? We will explore ...
Fine-tuning Faster R-CNN on Sea Rescue Dataset – Small Object Detection: PyTorch
Detecting small objects in aerial imagery, particularly for critical applications like sea rescue, presents unique challenges. Timely detection of people in the water can mean the difference between ...
Building MobileViT Image Classification Model from Scratch In Keras 3
In the rapidly evolving field of deep learning, the challenge often lies not just in designing powerful models but also in making them accessible and efficient for practical use, especially on devices ...
Integrating Gradio with OpenCV DNN
As AI engineers, we're always building cool machine learning and deep learning models, right? But then we hit the big question: "Where do we deploy these models so that end-users can actually use ...
Introduction to Ultralytics Explorer API
Ultralytics, the company renowned for developing the YOLOv8 model, has recently created a new exploratory data analysis tool, Ultralytics Explorer, to explore image datasets for computer vision. ...
YOLOv9: Advancing the YOLO Legacy
Advancing object detection technology, YOLOv9 stands out as a significant development in Object Detection, created by Chien-Yao Wang and his team. This new version introduces innovative methods such ...