Welcome to the world of WALDO (Whereabouts Ascertainment for Low-lying Detectable Objects)! In this guide, we’ll explore how to harness the power of this advanced detection AI model based on YOLO v8. Prepare to dive into the exciting terrain of overhead imagery detection!
What is WALDO?
WALDO is an object detection AI model capable of identifying a variety of classes from overhead imagery, whether you’re flying a drone at 30 feet or observing satellite imagery. It operates based on a large YOLO-v8 backbone augmented with a synthetic data pipeline.
Classes of Objects Detected
The WALDO model is capable of detecting the following classes:
- 0 – Light Vehicle: All kinds of civilian cars including pickup trucks and vans.
- 1 – Person: Detects people, including those on bikes or swimming.
- 2 – Building: Various kinds of structures.
- 3 – U-Pole: Utility poles that need to be avoided.
- 4 – Boat: All types of watercraft and floaty objects.
- 5 – Bike: Two-wheeled vehicles including bikes and motorbikes.
- 6 – Container: Shipping containers and the like.
- 7 – Truck: Large commercial vehicles.
- 8 – Gas Tank: Cylindrical tanks for storing liquids.
- 10 – Digger: Construction vehicles.
- 11 – Solar Panels: Energy-efficient panels.
- 12 – Bus: City buses.
As a note for users of earlier WALDO versions, the military class and smoke detection have been removed to focus purely on civilian applications.
Where Can You Find WALDO?
You can access WALDO on Hugging Face. For even better performance, consider checking out additional models available for purchase at Gumroad.
Applications of WALDO
The WALDO model has various exciting uses, including:
- Disaster recovery efforts
- Wildlife sanctuary monitoring
- Calculating occupancy in parking lots
- Infrastructure monitoring
- Construction site supervision
- Traffic flow management
- Crowd counting
- Creative AI art projects
- Enhancing drone safety by avoiding obstacles
The potential applications are vast, and creators are encouraged to explore innovative solutions using WALDO!
How to Get Started with WALDO
To kickstart your WALDO journey, follow these steps:
- Check out the boilerplate code available in the repository.
- Utilize the Supervision annotation library from Roboflow to run the models and produce impressive detections.
Diving Deeper into WALDO
If you are already familiar with deploying AI models, there’s much more to explore:
- Fine-tune the models with your own datasets.
- Create a sliding-window inference setup for edge hardware.
- Quantize the models for enhanced performance on inexpensive devices.
- Use WALDO models to annotate data and train your own models.
These steps will unleash WALDO’s full capabilities for your projects!
Troubleshooting WALDO Issues
If you encounter any problems with object detection, don’t hesitate to reach out! Here are some troubleshooting steps:
- Check for example images, videos, or sample data that may help in diagnosing the issue.
- For persistent problems, you can contact the project creator at stephan.sturges@gmail.com.
- For additional insights, updates, or collaboration on AI development projects, stay connected with fxis.ai.
Conclusion
At fxis.ai, we believe that such advancements are crucial for the future of AI, as they enable more comprehensive and effective solutions. Our team is continually exploring new methodologies to push the envelope in artificial intelligence, ensuring that our clients benefit from the latest technological innovations.
With WALDO at your fingertips, the sky (or the satellite imagery) is the limit! Happy detecting!
