ArminMoghimi/Fine-tune-the-Segment-Anything-Model-SAM-
A. Moghimi, M. Welzel, T. Celik, and T. Schlurmann, "A Comparative Performance Analysis of Popular Deep Learning Models and Segment Anything Model (SAM) for River Water Segmentation in Close-Range Remote Sensing Imagery,"
This tool helps hydrologists and environmental researchers precisely identify river water in aerial or drone imagery. By taking close-range remote sensing images as input, it produces segmented images that clearly delineate river areas, making it easier to monitor waterways or assess environmental changes. This is designed for practitioners who need accurate, automated water body detection.
No commits in the last 6 months.
Use this if you need to accurately and efficiently segment river water from close-range remote sensing imagery, especially for environmental monitoring or hydrological studies.
Not ideal if your primary goal is general object detection or if you are working with satellite imagery at a much broader scale, as it's optimized for fine-grained river water segmentation from close-range captures.
Stars
28
Forks
8
Language
Jupyter Notebook
License
—
Category
Last pushed
Dec 30, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/ArminMoghimi/Fine-tune-the-Segment-Anything-Model-SAM-"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
gradio-app/gradio
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
opengeos/segment-geospatial
A Python package for segmenting geospatial data with the Segment Anything Model (SAM)
wkentaro/osam
Get up and running with SAM1-3, EfficientSAM, YOLO-World, and other promptable vision models locally.
juglab/EmbedSeg
Code Implementation for EmbedSeg, an Instance Segmentation Method for Microscopy Images
lartpang/awesome-segmentation-saliency-dataset
A collection of some datasets for segmentation / saliency detection. Welcome to PR...:smile: