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 ...
YOLO11: Faster Than You Can Imagine!
YOLO11 is finally here, revealed at the exciting Ultralytics YOLO Vision 2024 (YV24) event. 2024 is a year of YOLO models. After the release of YOLOv8 in 2023, we got YOLOv9 and YOLOv10 this year, and ...
Fine-Tuning YOLOv10 Models on Custom Dataset for Kidney Stone Detection
Fine-tuning YOLOv10 models for enhancing kidney stone detection, significantly reduces diagnosis time from 15-25 minutes per report to processing ~150 reports per second. Targeting medical ...
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 ...
