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THE FIRST COLLECTIONYOLOv5 is a fast, accurate computer vision framework in PyTorch for object detection, instance segmentation, and image classification. It supports training on custom datasets, inference from various sources, and exporting models to formats like ONNX, TensorRT, and CoreML.
A comprehensive toolkit for computer vision that provides model-agnostic building blocks for data loading, visualization, and dataset management.
Label Studio is an open-source, multi-type data labeling tool supporting audio, text, images, video, and time series with a simple UI and export to various model formats.
X-AnyLabeling is a cross-platform desktop application for AI-assisted annotation of image, video, text, and multimodal data, with many built-in deep learning models, diverse labeling tools, and multi-format import/export.
Ultralytics provides a suite of state-of-the-art YOLO models for computer vision tasks including object detection, segmentation, and classification.
