The **tf image classifier** is a powerful Chrome extension that uses TensorFlowJS (Mobilenet v2 and COCO-SSD models) to classify and detect objects in images directly in your browser. Perfect for education or fun, it accurately identifies over 1,000 image types and detects 80+ object classes. Lightweight, privacy-focused, and easy to use—enhance your web experience with AI-powered image recognition.
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Published:
2024-09-13
Created:
2025-04-26
Last Modified:
2025-04-26
Published:
2024-09-13
Created:
2025-04-26
Last Modified:
2025-04-26
tf image classifier Product Information
What is tf image classifier?
tf image classifier is a Chrome extension that uses TensorFlowJS models (MobileNet v2 and COCO-SSD) to classify or detect objects in images directly in your browser. It can identify over 1,000 image types with MobileNet or detect 80+ object classes with COCO-SSD, making it a powerful tool for AI-driven image analysis.
Who will use tf image classifier?
tf image classifier is ideal for students, educators, developers, or AI enthusiasts exploring machine learning. It’s also useful for hobbyists who want to experiment with image classification or object detection without coding. Researchers and designers may use it for quick visual analysis or educational demonstrations.
How to use tf image classifier?
- Install the extension from the Chrome Web Store.
- Navigate to any webpage with images.
- Click the extension icon to activate it.
- Select between MobileNet (for classification) or COCO-SSD (for object detection).
- View the AI-generated labels or bounding boxes on images.
- Use alongside CORS Unblock for sites with cross-origin restrictions.
In what environments or scenarios is tf image classifier suitable?
tf image classifier works best in educational settings, AI prototyping, or casual exploration of machine learning. It’s suitable for analyzing images on blogs, e-commerce sites, or photo galleries. Developers can test TensorFlowJS models, while teachers may use it for interactive ML demonstrations. Requires Chrome and an internet connection.
tf image classifier Features & Benefits
What are the core features of tf image classifier?
- Uses TensorFlowJS with mobilenet v2 for classifying over 1,000 image types.
- Supports coco-ssd model for object detection across 80+ classes.
- Works directly in the browser without external servers.
- Compatible with CORS Unblock extension for seamless image access.
- Designed for educational and experimental purposes.
What are the benefits of using tf image classifier?
- Enables quick image classification without coding or ML expertise.
- Leverages pre-trained models (mobilenet/coco-ssd) for accurate results.
- Runs locally in Chrome for privacy and offline use.
- Ideal for learning AI/ML concepts interactively.
- Free and lightweight (367KiB) with no data collection.
What is the core purpose and selling point of tf image classifier?
- Simplifies TensorFlow-based image classification for beginners.
- Combines two powerful models (mobilenet + coco-ssd) in one tool.
- No setup required—works instantly on any Chrome-supported site.
- Focuses on education and hands-on ML experimentation.
- Privacy-focused with no data tracking.
What are typical use cases for tf image classifier?
- Students exploring machine learning and image recognition.
- Testing model accuracy on diverse image datasets.
- Identifying objects/patterns in web images for research.
- Comparing mobilenet and coco-ssd model performances.
- Fun experiments like classifying personal photos.
FAQs about tf image classifier
What is tf image classifier and how does it work?
tf image classifier is a Chrome extension that uses TensorFlowJS with mobilenet v2 and coco-ssd models to classify images directly in your browser. It analyzes images from any website, identifying objects or classifying them into over 1,000 categories with mobilenet or detecting objects across 80 classes with coco-ssd. The extension works without sending your data to external servers, processing everything locally for privacy.
Can tf image classifier detect multiple objects in one image?
Yes, when using the coco-ssd model, tf image classifier can detect and identify multiple objects within a single image. This model specializes in object detection across 80 common classes. For broader image classification (over 1,000 categories), the mobilenet v2 model is better suited but typically focuses on the primary subject of an image.
Is tf image classifier free to use?
Yes, tf image classifier is completely free to install and use from the Chrome Web Store. There are no subscription fees or in-app purchases required to access its image classification and object detection features powered by TensorFlowJS models.
How accurate is tf image classifier's image recognition?
tf image classifier provides reasonably accurate results using advanced TensorFlowJS models, but like all machine learning systems, it's not perfect. Mobilenet v2 can classify images across 1,000+ categories with human-level accuracy for many common objects. However, complex or ambiguous images may produce incorrect classifications, and performance improves with clearer, well-framed subjects.
Does tf image classifier work with all websites?
tf image classifier works with most websites, but some may have CORS (Cross-Origin Resource Sharing) restrictions that block image analysis. The developer recommends using the CORS Unblock extension alongside tf image classifier to overcome these limitations on image-heavy sites for optimal performance.
What's the difference between mobilenet and coco-ssd in tf image classifier?
In tf image classifier, mobilenet v2 is an image classification model that identifies what an image represents from 1,000+ categories. Coco-ssd is an object detection model that locates and identifies multiple objects within an image across 80 classes. Choose mobilenet for general classification or coco-ssd when you need to detect specific objects and their positions.
Is my data secure when using tf image classifier?
Yes, tf image classifier processes all images locally in your browser without sending data to external servers. The developer confirms no user data is collected, sold, or used for unrelated purposes. Your privacy is protected as all TensorFlowJS computations happen directly on your device.
Can I use tf image classifier for educational purposes?
Absolutely! tf image classifier is an excellent educational tool for learning about machine learning, image classification, and object detection. Students and educators can use it to demonstrate how AI models interpret visual data, understand model limitations, and explore computer vision concepts in a practical, hands-on way.
How do I install tf image classifier on Chrome?
To install tf image classifier, visit the Chrome Web Store listing, click "Add to Chrome," then confirm the installation. The extension will be added to your browser instantly. No additional setup is required - you can start classifying images from any website immediately after installation.
What languages does tf image classifier support?
tf image classifier currently supports two languages: English and 한국어 (Korean). The interface and functionality are fully available in both languages, making the extension accessible to a wider range of users interested in image classification technology.
tf image classifier Company Information
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