Real-World Object Detection: Waste Sorting & Tomato Ripeness


Use YOLO and computer vision to build object detection systems for smart waste management and tomato ripeness detection.

What you will learn


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Build real-world object detection models using YOLOv10 for waste sorting and tomato ripeness detection.

Annotate custom image datasets using Annotate-Lab in YOLO format for object detection tasks.

Apply data augmentation techniques to improve model accuracy and robustness.

Deploy trained models to the web and mobile using Gradio, Hugging Face and Flutter for real-time AI applications.

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