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Discover 32 open source projects
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amusi/CVPR2026-Papers-with-Code
CVPR 2025 ่ฎบๆๅๅผๆบ้กน็ฎๅ้
albumentations-team/albumentations
Fast and flexible image augmentation library for computer vision and machine learning projects.
extreme-assistant/CVPR2024-Paper-Code-Interpretation
A comprehensive collection of CVPR conference papers, code, and interpretation resources for computer vision and deep learning enthusiasts.
qubvel-org/segmentation_models.pytorch
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
xuebinqin/U-2-Net
U^2-Net is a deep learning-based salient object detection library for Python that can be used for image processing and background removal.
open-mmlab/mmsegmentation
An open-source semantic segmentation toolbox and benchmark for computer vision tasks.
PaddlePaddle/PaddleSeg
Easy-to-use image segmentation library with pre-trained models for tasks like semantic, panoptic, and 3D segmentation.
roboflow/notebooks
A collection of tutorials and notebooks on state-of-the-art computer vision models and techniques for developers.
imgly/background-removal-js
Remove backgrounds from images directly in the browser environment with ease and no additional costs or privacy concerns.
qubvel/segmentation_models
Segmentation models with pretrained backbones for image processing and computer vision tasks.
Charmve/Surface-Defect-Detection
A database and paper collection for surface defect research, useful for developers building with AI tools.
catalyst-team/catalyst
Catalyst is an accelerated deep learning R&D library for Python that supports a variety of AI and machine learning use cases.
ZhengPeng7/BiRefNet
A high-performance image segmentation library that uses bilateral reference for dichotomous image segmentation.
jolibrain/deepdetect
A C++ API and server for deep learning that supports popular frameworks like PyTorch, TensorFlow, and XGBoost.
ailia-ai/ailia-models
A collection of pre-trained, state-of-the-art AI models for the ailia SDK, supporting a wide range of computer vision and natural language processing tasks.
extreme-assistant/ICCV2023-Paper-Code-Interpretation
A curated collection of ICCV conference papers, code, and interpretations for computer vision developers.
jakeret/tf_unet
A generic U-Net implementation in TensorFlow for image segmentation tasks.
SHI-Labs/OneFormer
A powerful universal image segmentation model that can handle various segmentation tasks with a single transformer-based model.
BloodAxe/pytorch-toolbelt
PyTorch extensions for fast R&D prototyping and Kaggle competition tools
tianrun-chen/SAM-Adapter-PyTorch
Adapts Meta AI's Segment Anything model to downstream tasks using adapters and prompts.
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