Visily
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Introduction:
Are you tired of spending hours manually segmenting objects in images for your research or editing projects?
Introducing Segment Anything by Meta AI, the advanced image segmentation tool designed to revolutionize computer vision research and editing tasks.
With just a single click, this AI model allows you to effortlessly segment any object in an image, saving you valuable time and effort.
Featuring a promptable segmentation system with zero-shot generalization, Segment Anything can handle unfamiliar objects and images without the need for additional training.
Whether you need to specify what to segment using interactive points, boxes, or other prompts, this model can generate multiple valid masks even for ambiguous requests.
The output masks can be seamlessly integrated into other AI systems, utilized for image editing applications, tracked in videos, or even lifted to 3D for creative tasks.
Designed for efficiency, Segment Anything boasts a one-time image encoder and a lightweight mask decoder that can run in a web browser in just a few milliseconds per prompt.
While the image encoder requires a GPU for optimal performance, the prompt encoder and mask decoder can be used directly with PyTorch or converted to ONNX for efficient CPU or GPU usage across various platforms.
Trained on the extensive SA-1B dataset, consisting of over 11 million licensed and privacy-preserving images, Segment Anything has amassed over 1.1 billion segmentation masks to enhance its accuracy and versatility.
Experience the power of AI-driven image segmentation with Segment Anything by Meta AI and unlock new possibilities in your research and editing endeavors.
Overview:
Segment Anything by Meta AI is an AI model designed for computer vision research that allows users to segment objects in any image with a single click. The model utilizes a promptable segmentation system with zero-shot generalization, enabling it to handle unfamiliar objects and images without the need for additional training. Users can provide a variety of input prompts, such as interactive points and boxes, to specify what should be segmented in an image. The model can even generate multiple valid masks for ambiguous prompts.
The output masks generated by Segment Anything can be used as inputs for other AI systems, tracked in videos, utilized in image editing applications, or lifted to 3D for creative tasks. The model is designed to be efficient, featuring a one-time image encoder and a lightweight mask decoder that can run in a web browser in just a few milliseconds per prompt. The image encoder requires a GPU for efficient inference, while the prompt encoder and mask decoder can be directly run with PyTorch or converted to ONNX for efficient execution on CPU or GPU across various platforms supporting ONNX runtime.
To train the model, the SA-1B dataset was used, which consists of over 11 million licensed and privacy-preserving images. This extensive dataset resulted in the collection of over 1.1 billion segmentation masks. With its user-friendly interface and powerful capabilities, Segment Anything by Meta AI offers a versatile solution for efficient and accurate object segmentation in computer vision tasks.
Benefits:
- Efficient and fast: The AI tool can segment objects in any image with just a single click, making the process quick and efficient.
- Promptable segmentation system: The model uses a promptable segmentation system that allows users to specify what to segment in an image using interactive points and boxes.
- Zero-shot generalization: The AI tool can generalize to unfamiliar objects and images without requiring additional training, making it versatile and adaptable.
- Multiple valid masks: It can generate multiple valid masks for ambiguous prompts, providing flexibility and accuracy in segmentation.
- Wide range of applications: The output masks can be used as inputs to other AI systems, tracked in videos, used for image editing applications, and lifted to 3D or used for creative tasks, making it suitable for various use cases.
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