segment-anything-meta

There are 1 repository under segment-anything-meta topic.

• JerryX1110 / awesome-segment-anything-extensions

  Segment-anything related awesome extensions/projects/repos.

  applicationawesomeawesome-listcaption-anythingcomputer-visionfoundation-modelsgenerationgenerative-modelimage-segmentationmachine-learningobject-detectionsegment-anythingsegment-anything-metasegmentationstyle-transfertracking
  335

• robustsam / RobustSAM

  RobustSAM: Segment Anything Robustly on Degraded Images (CVPR 2024 Highlight)

  artificial-intelligencecomputer-visiondeep-learningsamsegment-anythingsegment-anything-metasegment-anything-modelsegmentationzero-shot-segmentationcvprcvpr2024eccviccvimage-processing
  Language:Python 141

• dk-liang / Awesome-Segment-Anything

  Collect some resource about Segment Anything (SAM), including the latest papers and demo

  samsegmentsegment-anythingsegment-anything-metaawesome-samsam-applicationseemgrounded-segment-anythingsam-rbox
  106

• jaydeep-work / LIME-SAM

  LIME-SAM aims to create an Explainable Artificial Intelligence (XAI) framework for image classification using LIME (Local Interpretable Model-agnostic Explanations) as the base algorithm, with the super-pixel method replaced by Segment Anything by Meta (SAM).

  explainable-aiimage-classificationlimesegment-anything-meta
  Language:Jupyter Notebook 32

• artastier / UNISEG

  This repository is the result of an academic project at Ecole Centrale in Nantes, France, with my classmate @damien-gautier-nantes. The aim of this project was to evaluate the performance of universal segmentation models for segmenting cancerous lesions. The UniverSeg and Segment Anything (SAM) models were tested.

  aideep-learningsegment-anything-metasegmentationuniversegmaximum-intensity-projectionsmedicalpositron-emission-tomography
  Language:Python 1

• Darkpsi10 / ClassifierEval

  Hey! This repository consists of .ipynb fiies for different classifiers trained using google collab, some can be run on local machine and the python files are attached as well, a README is available as well for a more in-depth guide.

  computer-visionkeras-tensorflowmachine-learningprediction-modelsegment-anything-metastatic-imagetrainingyolov5yolov8
  Language:Jupyter Notebook 1

• vinod-polinati / ImageSegmentation

  A computer vision Image Segmentation Project done using Segment Anything by Meta.AI & Yolo V8

  computer-visionimage-recognitionimage-segmentationsegment-anything-meta
  Language:Jupyter Notebook