Showing 11 of 11 projects
A state-of-the-art PyTorch-based computer vision model for object detection, segmentation, and classification.
A PyTorch-based platform for state-of-the-art object detection, segmentation, and visual recognition tasks.
A fast and flexible Python library for image augmentation in computer vision tasks like classification, segmentation, and object detection.
A PyTorch library providing 12+ semantic segmentation model architectures with 800+ pretrained convolutional and transformer-based encoders.
A curated list of semantic segmentation papers, code, datasets, and resources across various deep learning frameworks.
A comprehensive resource of deep learning techniques and models for analyzing satellite and aerial imagery.
A large-scale dataset of images with object segmentation, bounding boxes, and visual relationship annotations.
An open-source deep learning API and server written in C++ that supports multiple backends like PyTorch, TensorRT, and TensorFlow for training and inference.
A web/desktop application for collaborative labeling and annotation of images, text, audio, documents, and other data types.
A deep learning-based edge detection algorithm using holistically-nested fully convolutional neural networks.
An open-source C library with MATLAB interfaces implementing popular computer vision algorithms for image understanding and local feature extraction.
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