Jun 21, 2025 · YOLOv13 seamlessly combines hypergraph computation with end-to-end information collaboration to deliver a more accurate, robust, and efficient real-time detection solution.

About [ICLR 2026] RF-DETR is a real-time object detection and segmentation model architecture developed by Roboflow, SOTA on COCO, designed for fine-tuning.

[CVPR 2024] Official RT-DETR (RTDETR paddle pytorch), Real-Time DEtection TRansformer, DETRs Beat YOLOs on Real-time Object Detection. 🔥 🔥 🔥 - lyuwenyu/RT-DETR

Sep 25, 2025 · Real-Time Object Detection Meets DINOv3 🎉 We’re excited to introduce EdgeCrafter with SOTA performance on object detection, pose estimation as well as instance segmentation.🎉 DEIMv2 …

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 …

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 …

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 Issues. …

Object Detection Getting Started This project provides a real-time embedded environment for STM32N6 microcontroller to execute STEdgeAI generated models, specifically targeting the object detection …

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

End-to-End Object Detection with Transformers. Contribute to facebookresearch/detr development by creating an account on GitHub.