Trash Detection on YOLOvX App
This experiment focuses on detecting waste materials in real time, aiming to revolutionize waste management processes. This project demonstrates the power of AI to contribute to a cleaner environment.
With the potential for practical applications in urban cleanup, coastal preservation, and automated waste sorting, this initiative underscores the role of machine learning in driving sustainability efforts.
For further details on training a custom model, please refer to this Kaggle notebook:
Once you are satisfied with the model performance you can now download the model from the Output directory and upload it to the YOLOvX App. Now simply RUN.
Model Owner Steps
- Upload the Model, 2. Wait for the Model to be Converted and Uploaded, 3. Just put the email ID to be shared with, 4. Check Model Info
Building Custom Dataset From Videos
For creating a custom dataset we need to extract frames from videos. You can find the code for extracting frames:
after extracting the frames we need labels so we are going to :
https://www.makesense.ai/
after exporting labels you should split the frames as train test and validation. You can follow :
Real-time Inference
Enjoy Real-time inference on your mobile phone with YOLOvX App :
This experiment focuses on detecting waste materials in real-time, showcasing AI’s potential to reshape environmental conservation efforts. Enabling smarter and more efficient waste management solutions opens the door to innovative applications that promote a cleaner, healthier planet.