computer vision How To Fine-Tune YOLO For Pose Estimation On Custom Dataset Fine-tuning YOLO for pose estimation on a custom dataset allows for precise keypoint detection tailored to specific applications like sports analytics, healthcare, and robotics. In this guide, we cover everything from dataset annotation and keypoint formatting to model training and Fine-tuning.
AI How to Fine-Tune the SAM Model with Your Own Dataset Fine-tuning Segment Anything (SAM) improves its accuracy for specific domains like medical imaging, agriculture, and surveillance. While SAM performs well out of the box, customizing it helps capture finer details.
AI Choosing The Right LLM for Your Task Explore the right LLM for your coding or other use case. I tested ChatGPT, Claude, DeepSeek, and many more to find out which LLM performs best in a specific use case.
Multimodal AI Is MistralOCR the Best OCR Model Yet? In this, we compare MistralOCR with similar other models in various cases to see which model performed best OCR.
object detection YOLOv12 Real Time Object Detection: What's New? YOLOv12 is here, faster, smarter, and more efficient. But does it truly outperform previous versions in object detection? We explore its accuracy, speed, and enhancements to see if it sets a new benchmark in AI vision.
