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awesome_underwater_datasets

Pointers to large-scale underwater datasets and relevant resources.

group1

group2

make by 2022/5/9

group4

Lian ShiJie’s Repository

isat_with_segment_anything

Interactive semi-automatic image segmentation annotation tool. Supports SAM(segment anything model), sam-hq, MobileSAM etc.（交互式半自动图像分割标注工具，支持SAM，sam-hq, MobileSAM等模型）

liamlian0727

liamlian0727.github.io

Lian Shijie's personal homepage

lnsnet

Pytorch Implementation of LNSNet for Superpixel Segmentation

nsfw_data_scraper

Collection of scripts to aggregate image data for the purposes of training an NSFW Image Classifier

playground

A central hub for gathering and showcasing amazing projects that extend OpenMMLab with SAM and other exciting features.

psnr-ssim-uciqe-uiqm-python

Python code for several metrics: PSNR, SSIM, UCIQE and UIQM

repvgg_code

resnet_demo

sam_comment

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

segment-anything-annotator

We developed a python UI based on labelme and segment-anything for pixel-level annotation. It support multiple masks generation by SAM(box/point prompt), efficient polygon modification and category record. We will add more features (such as incorporating CLIP-based methods for category proposal and VOS methods for video datasets

segment-anything-fast

A batched offline inference oriented version of segment-anything

tensorclip_seg

Semantic Segmentation model for TensorCLIP

usis10k

[ICML 2024] Official repository of the paper: "Diving into Underwater: Segment Anything Model Guided Underwater Salient Instance Segmentation and A Large-scale Dataset"

watermask

This repo is the official implementation of "WaterMask: Instance Segmentation for Underwater Imagery", and has been accepted by ICCV2023! 🎉🎉🎉