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.
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Aug 15, 2024 - TypeScript
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.
Open source Python library for building bioimage analysis pipelines
Sandbox for training deep learning networks
Label Studio is a multi-type data labeling and annotation tool with standardized output format
Like SMPL but for bugs
🚘 Object Detection and Semantic Segmentation for Autonomous Driving
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.
autoupdate paper list
Jax, Flax, examples (ImageClassification, SemanticSegmentation, and more...)
Canada Wildfire Prediction Using Deep Learning
ICASSP 2023-2024 Papers: A complete collection of influential and exciting research papers from the ICASSP 2023-24 conferences. Explore the latest advancements in acoustics, speech and signal processing. Code included. Star the repository to support the advancement of audio and signal processing!
A repository containing tools useful for interacting with CoralNet and other downstream tasks.
Repo containing model training on high resolution flood response drone RGB drone imagery with pytorch and semantic segmentation models.
Neural Network Compression Framework for enhanced OpenVINO™ inference
[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
A repo for Segnet training from start to finish in two different ways
Apps for NN inference in Supervisely
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
An open source library and framework for deep learning on satellite and aerial imagery.
The official repository for CosPGD: a unified white-box adversarial attack for pixel-wise prediction tasks.
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