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.
Udemy
platform
English
language
Other
category
Suman Kunwar
instructor
Real-World Object Detection: Waste Sorting & Tomato Ripeness
20
students
42 mins
content
Jun 2025
last update
FREE
regular price

What you will learn

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.

Course Gallery

Real-World Object Detection: Waste Sorting & Tomato Ripeness – Screenshot 1
Screenshot 1 – Real-World Object Detection: Waste Sorting & Tomato Ripeness
Real-World Object Detection: Waste Sorting & Tomato Ripeness – Screenshot 2
Screenshot 2 – Real-World Object Detection: Waste Sorting & Tomato Ripeness
Real-World Object Detection: Waste Sorting & Tomato Ripeness – Screenshot 3
Screenshot 3 – Real-World Object Detection: Waste Sorting & Tomato Ripeness
Real-World Object Detection: Waste Sorting & Tomato Ripeness – Screenshot 4
Screenshot 4 – Real-World Object Detection: Waste Sorting & Tomato Ripeness

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6669151
udemy ID
13/06/2025
course created date
22/06/2025
course indexed date
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