People and Vehicle Detection Model

DeepLobe's pre-trained people and vehicle detection model is designed to analyze images and accurately detect and classify objects as either people or vehicles. This model is commonly used in applications such as security and surveillance, traffic management, and autonomous vehicles.

How the People and Vehicle Detection Model Works

The people and vehicle detection model is trained to recognize specific features and patterns that are characteristic of people and vehicles. It analyzes images and identifies these features, using them to classify objects in the image accordingly. Additionally, the model considers additional information like object size and location to improve the accuracy of its predictions.

Testing the People and Vehicle Detection Model

To test the capabilities of the people and vehicle detection model, follow these steps:

1. Select an image from the provided sample images or upload your own images or URLs.
2. Click the "Run model" button to initiate the analysis.
3. The model will process the image and generate predictions, providing a list of detected objects along with their locations and classifications.

API Integration

If you are satisfied with the results obtained, you can seamlessly integrate the people and vehicle detection model into your existing systems or applications. Here's how:

1. Click on the "Sample code" button to access a few lines of code.
2. Copy and paste the provided code into your application.
3. Replace the placeholder "REPLACE_API_KEY" with the API key generated for your account.

For information on generating an API key, refer to the "Create an API Key" section in the documentation.

API Documentation

For comprehensive information on using the People and Vehicle Detection model via the API, consult our API documentation. It provides detailed guidance and examples to help you effectively leverage the model within your applications.

We hope the People and Vehicle Detection model enhances your ability to detect and classify objects in images, enabling various applications and use cases. If you have any questions or require further assistance regarding the People and Vehicle Detection model or any other aspect of DeepLobe, please reach out to our support team. We're here to support your success.