How to Use the Raccoon Detection API
Use this pre-trained Raccoon computer vision model to retrieve predictions with our hosted API or deploy to the edge. Learn More About Roboflow Inference
Switch Model:
mAP is equal to the average of the Average Precision metric across all classes in a model. Learn more
mAP
Precision measures how often your model's predictions are correct. Learn more
Precision
Recall measures what percentage of relevant labels were successfully identified. Learn more
Recall
Try this model on images
0
fps 0
objects detected 
Roboflow Inference
Inference is Roboflow's open source deployment package for developer-friendly vision inference.
How to Deploy the Raccoon Detection API
Using Roboflow, you can deploy your object detection model to a range of environments, including:
- Raspberry Pi
- NVIDIA Jetson
- A Docker container
- A web page
- iOS
- A Python script using the Roboflow SDK.
Below, we have instructions on how to use our deployment options.
Code Snippets
More Deployment Resources
Roboflow Inference Documentation
Look through our Inference documentation for more information and resources on how to utilize this model.
Example Web App
Use this model with a full fledged web application that has all sample code included.
Deploy to NVIDIA Jetson
Perform inference at the edge with a Jetson via our Docker container.
Deploy Mobile iOS
Utilize your model on your mobile device.
