Models & Data

Aeroscapes: Aerial Semantic Segmentation Dataset Unofficial redistribution of the AeroScapes dataset under the original CC BY-SA 4.0 license. Disclaimer This repository is not an official release of the AeroScapes dataset. The AeroScapes dataset was created by Ishan Nigam, Chen Huang, and Deva Ramanan, with dataset collection and manual annotation supported by Autel Robotics. They retain all copyr

End-to-End Object Detection with Transformers

Drone-based Joint Density Map Estimation, Localization and Tracking with Space-Time Multi-Scale Attention Network

Drone-based RGB-Infrared Cross-Modality Vehicle Detection via Uncertainty-Aware Learning

[ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"

GWHD 2021: Global Wheat Head Dataset (Object Detection) Unofficial redistribution of the Global Wheat Head Dataset (GWHD) 2021 competition release, reformatted into a standardized YOLO-compatible directory layout. Disclaimer This repository is not an official release of the Global Wheat Head Dataset. GWHD was created by the Global Wheat Head Detection consortium — a multi-institution, multi-countr

A high-altitude infrared thermal dataset for Unmanned Aerial Vehicle-based object detection

Inria Aerial Image Labeling Dataset Description The Inria Aerial Image Labeling Dataset is a building semantic segmentation dataset proposed in "Can semantic labeling methods generalize to any city? the inria aerial image labeling benchmark," Maggiori et al.. It consists of 360 high-resolution (0.3m) RGB images, each with a size of 5000x5000 pixels. These images are extracted from various internat

Example and utiliy scripts for the Mid-Air dataset

SeaDronesSee: Maritime UAV Object Detection Dataset Unofficial redistribution of the SeaDronesSee object-detection (v2) dataset, reformatted into a standardized YOLO-compatible directory layout. Disclaimer This repository is not an official release of the SeaDronesSee dataset. SeaDronesSee was created by Leon Amadeus Varga, Benjamin Kiefer, Martin Messmer, and Andreas Zell at the University of Tüb

UAVid: Aerial Semantic Segmentation Dataset Unofficial redistribution of the UAVid dataset under the original CC BY-NC-SA 4.0 license. Disclaimer This repository is not an official release of the UAVid dataset. The UAVid dataset was created by the original authors, who retain all copyright and intellectual property rights. This repository does not claim ownership of any images, annotations, or met

Ultralytics YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking

This dataset was created using LeRobot. UZH-FPV Drone Racing, 128px, LeRobot format A processed derivative of the UZH-FPV Drone Racing Dataset packaged as a LeRobotDataset (v3): 24 episodes, 24,242 frames of aggressive indoor FPV racing flight, as 128x128 grayscale onboard camera frames with 4D continuous control actions. This is not my recording. All flight data was collected and published by the

The dataset for drone based detection and tracking is released, including both image/video, and annotations.