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A comprehensive guide for developers to stay up-to-date with the latest advancements in AI, ML, DL, and computer vision.
This GitHub repository is a collection of public person re-identification datasets, which are useful for computer vision and AI research.
Keras-CV is an industry-strength Computer Vision library for Python that provides robust, high-performance computer vision workflows.
A fast and powerful hierarchical vision transformer for computer vision tasks.
DepthAI is a high-performance, low-power embedded AI vision library for building computer vision and spatial AI applications.
An AI-powered image captioning and image-text search platform for developers building with AI tools.
A training library for local feature detection and matching, focusing on computer vision and deep learning.
Open-source optical flow toolbox and benchmark for computer vision tasks powered by PyTorch.
R-FCN with joint training and Python support for object detection and computer vision tasks.
A collection of pre-compiled OpenCV binaries for Windows using MinGW compiler, enabling easy integration of computer vision capabilities.
A PyTorch implementation of BigGAN with pretrained weights and conversion scripts for generative AI models.
Comprehensive roadmaps for data science, AI, and software engineering careers.
A library that reproduces the results of a paper on fixing train-test resolution discrepancy in computer vision models.
A collection of papers and code related to 3D computer vision, including SLAM, localization, and more.
Perception and AI components for autonomous mobile robotics.
A UNet-like transformer for efficient semantic segmentation of remote sensing urban scene imagery.
An open-source Python library for building gesture recognition models using Convolutional Neural Networks (CNN) and computer vision.
An AI-powered tool to upscale images by 4x while preserving photo-realistic details, built using TensorFlow.
A toolbox for open-world and high-quality image segmentation, with pre-trained models and PyTorch-based implementation.
A TensorFlow-based CRNN model for scene text recognition, useful for vibe coders working on OCR and computer vision AI.
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