Apple Detection with OpenCV and Deep Learning:
I'm excited to share my latest project where I leveraged the power of OpenCV and deep learning to create a robust object detection system specifically designed to detect ripened apples!
The system utilizes the state-of-the-art SSD MobileNet V3 architecture and is implemented with Python. It provides real-time detection from both images and videos, making it perfect for a wide range of applications.
During the development process, I carefully fine-tuned the model to achieve an optimal detection threshold and non-maximum suppression to eliminate duplicate detections, resulting in precise apple identification.
To make it user-friendly, I incorporated the popular CVZone library to draw bounding boxes around the detected apples and display the confidence level alongside each detection. This visual feedback enhances the user experience and makes it easier to interpret the results.
Whether it's for quality control in apple farms, smart inventory management in grocery stores, or even for educational purposes, the possibilities are endless!
Feel free to reach out to me with any questions or feedback. Let's keep innovating and building exciting AI applications together!
Email: [email protected]
#ObjectDetection #DeepLearning #ComputerVision #ArtificialIntelligence #OpenCV #MachineLearning #Python #Apples