Este script de Python utiliza la librería SAM de Facebook para segmentar una imagen.

A matplotlib GUI to run the Segment Anything Model

The official repo for the technical report "Scalable Mask Annotation for Video Text Spotting"

Automatic segment and generate masks for any 3D medical images using SAM model without prompt

Integrating Stable Diffusion with SAM.

R 'reticulate' wrapper for `segment-geospatial` 'Python' package for segmenting geospatial data with the ‘Segment Anything Model’ (SAM).

awesome-SAM-Medical-Images

A PoC to run Segment Anything Model (SAM) entirely in the browser without any backend

Software y tecnología aérea, espacial y cibernética para la protección de la Amazonía - Ganadores del Codefest 2023

Marrying Grounding DINO with Segment Anything & Stable Diffusion & Tag2Text & BLIP & Whisper & ChatBot - Automatically Detect , Segment and Generate Anything with Image, Text, and Audio Inputs

Autodistill es una herramienta que permite autoanotar imágenes y entrenarlas utilizando un modelo base potente y un modelo objetivo rápido y óptimo.

SAM-helps-shadow:When segment anything model meet shadow removal

YOLO_NAS is an architecture for object detection that automatically searches for optimal neural network structures, while Segment Anything Model is a versatile model for segmenting various objects in images.

University Project. Showcase of SAM (Segment Anything) paper.

SAMYOL is a Python library that combines an object detection model and a segmentation model.

Use the SAM to get the mask on Objects-365.

This app integrates the Segment Anything Model (SAM) with Sentinel-2 data. The app is built using Dash Plotly and dash leaflet. It allows segmenting satellite images using the two ways provided by SAM: automatic mask generator and prompt segmentation (using points and bounding boxes).

An automatic Image Segmentation and labelling tool which can make labelling of images for segmentation feel effortless