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Articles covering Object Detection using various models such as YOLO and Faster R-CNN, implemented with OpenCV, PyTorch, Python, and C++.
→ YOLO Object Detection GUI that allows users to choose specific detection areas, labels, and adjust confidence values dynamically. With libraries like Ultralytics, training a…
→ Detect objects with YOLO models, and by using detection information, segment these objects with SAM. There are a bunch of segmentation models out there,…
→ Article about detecting objects with pretrained OpenCV Cascade Classifiers implemented in Python. For Object Detection, there are popular models like YOLO, Faster R-CNN, and…
→ Step-by-step guide for training YOLO-NAS object detection models in PyTorch using custom datasets. Every year, new YOLO versions are published, and last I saw,…
