In the groundbreaking paper “Attention is all you need”, Transformers architecture was introduced for sequence to sequence tasks in NLP. Models like Bert, GPT were built on the top of Transformers ...
Object Detection on Edge Device – Deploying YOLOv8 on OAK-D-Lite
Performing Object Detection on edge device is an exciting area for tech enthusiasts where we can implement powerful computer vision applications in compact, efficient packages. Here we show one ...
YOLOv10: The Dual-Head OG of YOLO Series
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 ...
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 ...
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 ...