Segment objects in images and videos using text prompts
Decode images to teacher model outputs
Tag images to find ratings, characters, and tags
Generate 3D depth maps from images and videos
Find images matching a text query
Test
Install and run watermark detection app
Search and detect objects in images using text queries
Enhance faces in old or AI-generated photos
Find similar images from a collection
Interact with Florence-2 to analyze images and generate descriptions
Detect if a person in a picture is a Host from Westworld
Use hand gestures to type on a virtual keyboard
Florence2 + SAM2 is an advanced AI tool designed for image and video object segmentation. By integrating the capabilities of Florence2 and SAM2 models, it enables users to precisely segment objects within visuals using text prompts. This tool is ideal for applications requiring accurate object isolation and background removal in both static images and dynamic video content.
• Object Segmentation: Perform precise object segmentation in images and videos using text-based prompts.
• Text-Prompted Interaction: Easily guide the segmentation process with natural language instructions.
• High Accuracy: Leverage state-of-the-art models to achieve highly accurate results.
• Multi-Tasking Capability: Works seamlessly on both images and videos.
• Customizable Output: Adjust settings to fine-tune segmentation results for specific use cases.
1. What file formats does Florence2 + SAM2 support?
Florence2 + SAM2 supports common image formats like PNG, JPG, and video formats such as MP4.
2. Can I customize the segmentation further after processing?
Yes, Florence2 + SAM2 allows users to adjust segmentation settings and refine results to meet specific requirements.
3. Is Florence2 + SAM2 suitable for real-time video processing?
While it excels at video segmentation, real-time processing may require additional optimization depending on the use case.