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.
ROS2 nodes for performing computer vision inference using TensorFlow models, enabling object detection and image classification in robotics.
A Blazor library that provides easy access to ML5.js machine learning models via JavaScript Interop.
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.
MicroPython binding for ESP-DL models enabling face detection, recognition, human detection, cat detection, and image classification on ESP32 devices.
A ROS2 package that marks detected objects on a map during SLAM using object analytics.
A React Native app using TensorFlow.js and MobileNet for real-time object detection on mobile 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 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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