HF Object Detection using facebook/detr-resnet-50
Detect objects in images from URLs or uploads
Classifies images as SFW or NSFW
🚀 ML Playground Dashboard An interactive Gradio app with mu
Check image for adult content
Testing Transformers JS
Detect inappropriate images
Detect AI-generated images by analyzing texture contrast
Identify objects in images based on text descriptions
Detect objects in your images
Identify inappropriate images in your uploads
Image-Classification test
Find images using natural language queries
Hf Object Detection is a powerful tool designed to detect harmful or offensive content in images. Built using the robust facebook/detr-resnet-50 model, this application leverages cutting-edge AI technology to identify and flag objectionable content efficiently. It is part of the Hugging Face ecosystem, ensuring high accuracy and reliability in object detection tasks.
• Real-Time Detection: Quickly analyze images and detect harmful content in real-time.
• Multi-Object Detection: Identify multiple objects within a single image.
• Ease of Integration: Seamlessly incorporate into existing applications and workflows.
• Customizable Thresholds: Adjust sensitivity to suit specific use cases.
• State-of-the-Art Model: Utilizes the advanced DETR (DEtection TRansformer) architecture.
pip install huggingfaceWhat is Hf Object Detection used for?
Hf Object Detection is primarily used to identify harmful or offensive content within images by detecting specific objects or patterns.
How accurate is Hf Object Detection?
The accuracy depends on the quality of the input images and the complexity of the content. The model achieves high precision for everyday objects but may vary with niche or ambiguous content.
Can Hf Object Detection be customized for specific use cases?
Yes, you can adjust thresholds and filters to tailor the detection to your needs, making it adaptable for different applications and industries.