2 days ago · Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.

YOLOE (ye) is a highly efficient, unified, and open object detection and segmentation model for real-time seeing anything, like human eye, under different prompt mechanisms, like texts, …

Mar 13, 2020 · Object detection with multi-level representations generated from deep high-resolution representation learning (HRNetV2h). This is an official implementation for our …

This is a list of awesome articles about object detection. If you want to read the paper according to time, you can refer to Date ...

They excel at object detection, tracking, instance segmentation, image classification, and pose estimation tasks. Find detailed documentation in the Ultralytics Docs. Get support via GitHub …

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 …

RT-DETR: DETRs Beat YOLOs on Real-time Object Detection This is the official implementation of papers DETRs Beat YOLOs on Real-time Object Detection RT-DETRv2: Improved Baseline …

To address these, we establish a benchmark dataset and propose a unified model, SM3Det (Single Model for Multi-Modal datasets and Multi-Task object Detection). SM3Det leverages a …

Detection & Tracking For the preparation and quantitative results of the 4D radar-based object detection, please refer to the following document: Detection Pipeline Guide. The images above …

Mar 20, 2025 · RF-DETR is a real-time, transformer-based object detection and instance segmentation model architecture developed by Roboflow and released under the Apache 2.0 …