Bee Detection on YOLOvX App
The world’s food supply depends heavily on pollinators, with bees being the most critical among them. However, bee populations are rapidly declining due to habitat destruction, climate change, and disease. Recognizing the urgent need to monitor and protect these essential creatures. This project aims to provide actionable insights for ecologists, farmers, and conservationists to help safeguard the future of our ecosystems.
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 simply 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
This project showcases the transformative potential of AI in environmental conservation. By offering a scalable, cost-effective, and precise method for monitoring bee populations, this initiative contributes to global efforts aimed at protecting these essential pollinators, which in turn helps secure the future of food and biodiversity.