Image dataset relalignment workflow with computer vision, plus automated river segmentation using Meta's SAM.
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Updated
Jun 6, 2024 - Jupyter Notebook
Image dataset relalignment workflow with computer vision, plus automated river segmentation using Meta's SAM.
Geospatial Artificial Intelligence .... Landcover Classification Workshop at Department of Land ... SV CU
AI-First Process Automation with Large ([Language (LLMs) / Action (LAMs) / Multimodal (LMMs)] / Visual Language (VLMs)) Models
A collection of project, papers, and source code for Meta AI's Segment Anything Model (SAM) and related studies.
Labeling tool with SAM(segment anything model),supports SAM, sam-hq, MobileSAM EdgeSAM etc.交互式半自动图像标注工具
Framework for object detection and instance segmentation models from the YOLOv8 family with SAM support
Segment Anything Model (SAM) interactive demo with OpenVINO
Segment Anything for Microscopy
Official PyTorch implementation of "EdgeSAM: Prompt-In-the-Loop Distillation for On-Device Deployment of SAM"
An annotation and instance segmentation-based multiple animal tracking and behavior analysis package.
EfficientViT is a new family of vision models for efficient high-resolution vision.
MetaSeg: Packaged version of the Segment Anything repository
Run zero-shot prediction models on your data
Keras beit,caformer,CMT,CoAtNet,convnext,davit,dino,efficientdet,edgenext,efficientformer,efficientnet,eva,fasternet,fastervit,fastvit,flexivit,gcvit,ghostnet,gpvit,hornet,hiera,iformer,inceptionnext,lcnet,levit,maxvit,mobilevit,moganet,nat,nfnets,pvt,swin,tinynet,tinyvit,uniformer,volo,vanillanet,yolor,yolov7,yolov8,yolox,gpt2,llama2, alias kecam
Framework for object detection and instance segmentation models from the YOLOv8 family with SAM support
RiverSnap - estimation of river hydraulic parameters using machine learning/AI models
Using Meta Segment Anything Model (SAM) to make an automatically annotated instance segmented dataset in PascalVOC format
Segment Anything Model for large-scale, vectorized road network extraction from aerial imagery. CVPRW 2024
A Python package for segmenting geospatial data with the Segment Anything Model (SAM)
[NeurIPS 2023] We turn natural language descriptions of behaviors into machine-executable code
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