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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Jun 13, 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.
Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™
NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite
OpenMMLab Pre-training Toolbox and Benchmark
The collection of pre-trained, state-of-the-art AI models for ailia SDK
Label Studio is a multi-type data labeling and annotation tool with standardized output format
An ASL detection script utilizing a TensorFlow image classification model trained from scratch. It is tailored to recognize American Sign Language (ASL) alphabet letters from live video streams, and provides documentation covering the neural network architecture, installation, dataset details, training procedures, and real-time detection.
The objective of this project is to carry out supervised image classification on a collection of colored images. It employs a convolutional neural network design and applies data augmentation and transformations to recognize the category of images from a predefined set of 10 classes.
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
The open-source tool for building high-quality datasets and computer vision models
Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.
This is a series of computer vision foundational projects for anyone diving into the field must tackle.
Фреймворк компьютерного зрения для задач, детекции, сегментации, классификации, идентификации людей, анализа настроений и классификации действий
Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models
Your fully proficient, AI-powered and local chatbot assistant🤖
Decoupled Kullback-Leibler Divergence Loss (DKL)
Classify fashion products based on a neural-network by providing an image of the product to be classified.
PyTorch extensions for fast R&D prototyping and Kaggle farming
Containerized REST API for image & video classification, utilizing Hugging Face transformers.
Deep Learning API and Server in C++14 support for Caffe, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE
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