Label Studio is a multi-type data labeling and annotation tool with standardized output format
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Updated
Dec 5, 2024 - JavaScript
Label Studio is a multi-type data labeling and annotation tool with standardized output format
CVPR 2024 论文和开源项目合集
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.
🤘 awesome-semantic-segmentation
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, 3D Segmentation, etc.
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
[CVPR 2024 Oral] InternVL Family: A Pioneering Open-Source Alternative to GPT-4o. 接近GPT-4o表现的开源多模态对话模型
Gluon CV Toolkit
Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset
Caffe: a fast open framework for deep learning.
Tools to Design or Visualize Architecture of Neural Network
A curated list of awesome data labeling tools
Semantic Segmentation Architectures Implemented in PyTorch
The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919
Sandbox for training deep learning networks
Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)
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