How to Use the cw Detection API
Use this pre-trained cw computer vision model to retrieve predictions with our hosted API or deploy to the edge. Learn More About Roboflow Inference
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mAP is equal to the average of the Average Precision metric across all classes in a model. Learn more
mAP
This model doesn't support in app visualization. Please deploy to the edge to use it.
See Deployment Options 
Roboflow Inference
Inference is Roboflow's open source deployment package for developer-friendly vision inference.
How to Deploy the cw 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
- A Python script using the Roboflow SDK.
Below, we have instructions on how to use our deployment options.
Code Snippets
Note: PaliGemma (224) Model Upload does not support Hosted API deployment.
Python
JavaScript
## Infer on Local and Hosted Images To install dependencies, `pip install inference-sdk`. Then, add the following code snippet to a Python script: ```python from inference_sdk import InferenceHTTPClient CLIENT = InferenceHTTPClient( api_url="https://outline.roboflow.com", api_key="API_KEY" ) result = CLIENT.infer(your_image.jpg, model_id="MODEL_ENDPOINT/VERSION") ``` [See the inference-sdk docs](https://inference.roboflow.com/inference_helpers/inference_sdk/)
## Node.js We're using [axios](https://github.com/axios/axios) to perform the POST request in this example so first run npm install axios to install the dependency. ### Inferring on a Local Image ```javascript const axios = require("axios"); const fs = require("fs"); const image = fs.readFileSync("YOUR_IMAGE.jpg", { encoding: "base64" }); axios({ method: "POST", url: "https://outline.roboflow.com/MODEL_ENDPOINT/VERSION", params: { api_key: "API_KEY" }, data: image, headers: { "Content-Type": "application/x-www-form-urlencoded" } }) .then(function (response) { console.log(response.data); }) .catch(function (error) { console.log(error.message); }); ``` ### Inferring on an Image Hosted Elsewhere via URL ```javascript const axios = require("axios"); axios({ method: "POST", url: "https://outline.roboflow.com/MODEL_ENDPOINT/VERSION", params: { api_key: "API_KEY", image: "IMAGE_URL" } }) .then(function (response) { console.log(response.data); }) .catch(function (error) { console.log(error.message); }); ```
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