Segment Anything
Segment Anything (SAM) is a state-of-the-art image segmentation model developed by Meta AI, capable of generating accurate segmentation masks from any given prompt or input.
Visitar Sitio Web
https://segment-anything.com/
![Segment Anything](/_next/image?url=https%3A%2F%2Fimg.aipure.ai%2Fimage_segment-anything_afc52857a503821d694268cf0bb27c9e.jpg&w=1080&q=75)
Información del Producto
Actualizado:03/06/2023
Qué es Segment Anything
Segment Anything (SAM) is a groundbreaking computer vision model designed to perform complex image segmentation tasks with unprecedented precision and versatility. SAM leverages a large dataset of over 1 billion masks on 11 million licensed and privacy-respecting images, enabling it to learn diverse patterns and features for accurate segmentation. This model can identify the precise location of specific objects in an image or every object in an image, making it a powerful tool for various computer vision applications.
Características Principales de Segment Anything
SAM is a promptable segmentation model that can generate valid segmentation masks based on any given prompt, even in ambiguous scenarios.
Zero-Shot Transfer: SAM can transfer zero-shot to new image distributions and tasks, often surpassing previous fully supervised results.
Promptable Segmentation: SAM can generate valid segmentation masks based on any given prompt, including foreground/background points, bounding boxes, masks, or free-form text.
Large-Scale Dataset: SAM was trained on a large dataset of over 1 billion masks on 11 million licensed and privacy-respecting images.
Flexible Model Usage: SAM can be adapted for object detection tasks by using prompts or inputs that specify the objects to be detected within an image.
Ventajas
High accuracy in segmentation tasks
Zero-shot transfer capabilities
Flexible model usage
Large-scale dataset for training
Desventajas
No API available for commercial use
Limited availability for commercial purposes
Casos de Uso de Segment Anything
Object detection
Image classification
Facial recognition
Automated image annotation
Cómo Usar Segment Anything
Set up a Python environment Install the required project dependencies and download the necessary files, including SAM weights.
Load the Segment Anything Model (SAM) Load the SAM model and prepare it for use.
Generate masks automatically with SAM Use SAM to generate segmentation masks for images.
Plot masks onto an image with Supervision Visualize the generated segmentation masks on the original image.
Preguntas Frecuentes sobre Segment Anything
SAM is a state-of-the-art image segmentation model developed by Meta AI, capable of generating accurate segmentation masks from any given prompt or input.
Análisis del Sitio Web de Segment Anything
Tráfico y Clasificaciones de Segment Anything
136.5K
Visitas Mensuales
#364971
Clasificación Global
#3466
Clasificación por Categoría
Tendencias de Tráfico: Mar 2024-May 2024
Información de Usuarios de Segment Anything
00:02:31
Duración Promedio de Visita
2.87
Páginas por Visita
50.95%
Tasa de Rebote de Usuarios
Principales Regiones de Segment Anything
US: 30.41%
CN: 15.46%
DE: 6.39%
TW: 5.02%
GB: 4.81%
Others: 37.9%