An Ultimate Guide to YOLOv11 Object Detection
A hands-on walkthrough of training a YOLOv11 object detector, from dataset annotation on Roboflow to evaluation on Google Colab.
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You Only Look Once (YOLO) divides an image into an NxN grid where each cell predicts bounding boxes and class probabilities in a single pass. Introduced in 2015, it remains one of the fastest real-time detection algorithms.
The guide walks through gathering and annotating a dataset on Roboflow, downloading it into a Google Colab notebook, training with the ultralytics package, running the best weights on new images, and reading the precision, recall, and confusion matrix outputs.
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