itsanuragkumarjha/Custom_YOLOV9_Room_cleanliness_Detector
This project leverages a custom-trained YOLOv9 model to detect objects related to room cleanliness. Built with Gradio, it provides an interactive web interface where users can upload images and adjust detection parameters. The app returns images with annotated bounding boxes around detected objects, aiding in room organization tasks.
This tool helps individuals identify clutter in their living spaces by analyzing uploaded images of rooms. It takes a photo of your room as input and outputs the same photo with bounding boxes highlighting objects like clothes and trash. This is perfect for anyone looking to make tidying up easier by pinpointing exactly where to focus their cleaning efforts.
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Use this if you want a visual guide to help you quickly spot messy areas and specific items contributing to clutter in your room.
Not ideal if you need a solution for identifying very specific types of small debris or want to categorize clutter beyond general 'clothes' and 'trash' categories.
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May 26, 2024
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