How to Count Birds with YOLOv8 Object Detection: A Step-by-Step Guide
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Introduction: Explain the importance of bird counting and how it can be used for conservation, research, and birdwatching.
Overview of YOLOv8: Introduce YOLOv8 and explain how it works for object detection and classification.
Post-processing for Counting: Discuss how to post-process the output of YOLOv8 to count the number of birds in the images, including non-maximum suppression, thresholding, and clustering.
Evaluation and Optimization: Explain how to evaluate the performance of YOLOv8 for bird counting, including metrics such as precision, recall, and F1-score. Discuss how to optimize the model for better accuracy and speed.
Conclusion: Summarize the key points of the video and encourage viewers to try bird counting with YOLOv8. Provide links to resources for further learning and practice.
code: https://github.com/noorkhokhar99/bird...
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#birdcounting
#YOLOv8
#objectdetection
#machinelearning
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