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Open-source data labeling tool for AI/ML projects
CVPR 2025 ่ฎบๆๅๅผๆบ้กน็ฎๅ้
An official implementation of the Swin Transformer, a hierarchical vision transformer for image classification and segmentation.
A Python library for image polygonal annotation with support for various shapes and flags.
CVAT is an industry-leading data engine for machine learning, trusted by teams for annotating data at scale.
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
A PyTorch implementation of the U-Net for image semantic segmentation with high quality images.
Semantic segmentation benchmark and evaluation framework for AI-powered developers
An open-source, large language model-based multimodal dialogue system that achieves near-GPT-4o performance.
An open-source semantic segmentation toolbox and benchmark for computer vision tasks.
Easy-to-use image segmentation library with pre-trained models for tasks like semantic, panoptic, and 3D segmentation.
An open-source toolkit for computer vision tasks, supporting a wide range of deep learning models and applications.
Tools to design or visualize the architecture of neural networks
A curated list of awesome data labeling tools for developers working with AI and computer vision.
A library of semantic segmentation architectures implemented in PyTorch for computer vision applications.
Python/C++ Visual SLAM pipeline for 3D reconstruction
A multi-task multi-sensor fusion library for bird's-eye view perception in 3D computer vision applications.
A high-performance, auto-diff neural network library for 3D and 4D sparse tensor computations.
A PyTorch-based computer vision foundation model with deformable convolutions for object detection and segmentation.
A PyTorch library for face parsing using a modified BiSeNet model, useful for computer vision and image processing tasks.
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