Object Detection
Showing 31 of 103 projects
ROS package for sensor processing, object detection, tracking, and evaluation using the KITTI Vision Benchmark dataset.
A Docker container for face detection using Faster R-CNN deep learning, processing videos and images with bounding box outputs.
A YOLO-based object detection system specifically trained to identify DJI drones in images and video.
.NET Standard bindings for Apache MXNet, providing C# developers with NumPy-compatible APIs for machine learning model development, training, and deployment.
A Python devkit for working with the Boreas and Boreas Road Trip all-weather autonomous driving datasets.
A ROS2 wrapper for real-time object detection, 3D localization, and tracking using RGB-D camera inputs.
A curated archive of pre-trained computer vision models for object detection, face recognition, fire detection, and more.
A TensorFlow implementation of Attend, Infer, Repeat (AIR), a generative model for fast scene understanding by reconstructing objects sequentially.
Examples and tutorials for using ZED cameras with ROS 2, including visualization, multi-camera setups, and robot integration.
An open-source solution for the Airbus Ship Detection Challenge, providing a benchmark and base for ship detection in satellite imagery.
A ROS wrapper for the NCNN neural inference framework, enabling real-time neural network inference on robotic systems.
A Blazor library that provides easy access to ML5.js machine learning models via JavaScript Interop.
ROS2 nodes for performing computer vision inference using TensorFlow models, enabling object detection and image classification in robotics.
A PyTorch-based framework providing implementations of state-of-the-art deep learning models for computer vision tasks.
An open-source solution for the Google AI Open Images Object Detection Challenge, providing a RetinaNet-based benchmark with experiment tracking.
A collection of CoreML examples for Swift Playgrounds on iPadOS demonstrating object recognition and detection models.
A ROS2 template node for running PyTorch C++ models, enabling real-time inference in robotics applications.
Detects objects in real-time using Firebase ML Kit and displays 3D AR labels via ARKit and SceneKit.
A TensorFlow-based image segmentation model that assigns each pixel in an image to one of 21 object classes from the PASCAL VOC dataset.
A standalone open-source software solution for DIY video security with computer vision, local storage, and no monthly fees.
A ROS2 wrapper for the Movidius Neural Compute Stick (NCS) providing object classification and detection services for images and video streams.
An algorithm for optimal worst-case instance segmentation of LiDAR point clouds using objectness scoring.
A Caffe-based deep learning model for face detection with pre-trained weights and training scripts.
An OCaml implementation of Mask R-CNN for object detection, segmentation, and classification using the Owl numerical library.
A modular ImageJ/Fiji plugin for assembling image and object analysis workflows with batch processing capabilities.
A ROS2 package that marks detected objects on a map during SLAM using object analytics.
MicroPython binding for ESP-DL models enabling face detection, recognition, human detection, cat detection, and image classification on ESP32 devices.
A multiplayer AR game that detects objects in real-time using Firebase ML Kit and tags them with 3D labels shared via Firebase RTDB.
A React Native app using TensorFlow.js and MobileNet for real-time object detection on mobile devices.
A minimal JAX/Flax implementation of DETR with optimizations like Flash Attention and Sinkhorn solver.
A deep learning model that identifies and segments nuclei in microscopy images using Mask R-CNN.
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