3 days ago · It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection. faster-rcnn face-detection object-detection human-pose-estimation human-activity-recognition multi-object-tracking instance-segmentation mask-rcnn yolov3 deepsort fcos blazeface yolov5 detr pp-yolo fairmot yolox picodet ...

YOLOv10: Real-Time End-to-End Object Detection. Ao Wang, Hui Chen, Lihao Liu, Kai Chen, Zijia Lin, Jungong Han, and Guiguang Ding. Abstract Over the past years, YOLOs have emerged as the predominant paradigm in the field of real-time object detection owing to their effective balance between computational cost and detection performance ...

The TensorFlow Object Detection API is an open source framework built on top of TensorFlow that makes it easy to construct, train and deploy object detection models. At Google we’ve certainly found this codebase to be useful for our computer …

This project showcases a real-time object detection system using YOLOv5, a top-tier deep learning model known for its speed and accuracy. By leveraging Python and popular libraries like OpenCV and PyTorch, you can detect objects in images, videos, or …

MMDetection is an open source object detection toolbox based on PyTorch. It is a part of the OpenMMLab project. The main branch works with PyTorch 1.8+. Major features. Modular Design. We decompose the detection framework into different components and one can easily construct a customized object detection framework by combining different modules.

DIOR: "Object detection in optical remote sensing images: A survey and a new benchmark". PESMOD: "UAV Images Dataset for Moving Object Detection from Moving Cameras". AI-TOD: "Tiny Object Detection in Aerial Images". (IEEE ICPR 2021)

This is the official code of High-Resolution Representations for Object Detection.We extend the high-resolution representation (HRNet) [1] by augmenting the high-resolution representation by aggregating the (upsampled) representations from all the parallel convolutions, leading to stronger representations.

object_detection_yolov4_pretrained_video.ipynb object detection using a custom-trained model Access the two notebooks for a step-by-step guide on how to train a custom model tuned to your training data and deploy it on new, previously unseen images.

The input images are directly resized to match the input size of the model. I skipped adding the pad to the input image, it might affect the accuracy of the model if the input image has a different aspect ratio compared to the input size of the model. Always try to get an input size with a ratio ...

YoloDotNet - A C# .NET 8.0 project for Classification, Object Detection, OBB Detection, Segmentation and Pose Estimation in both images and videos. Topics image video computer-vision ffmpeg detection cuda video-processing yolo image-classification segmentation object-detection obb onnx onnx-runtime yolov8 yolo-world yolov9 yolov10 yolov11