aerial-image-detection
There are 21 repositories under aerial-image-detection topic.
csuhan/s2anet
Official code of the paper "Align Deep Features for Oriented Object Detection"
LiWentomng/OrientedRepPoints
The code for “Oriented RepPoints for Aerial Object Detection (CVPR 2022)”
roboflow/dji-aerial-georeferencing
Detect objects in drone videos and plot them on a map
Jittor/JDet
JDet is an object detection benchmark based on Jittor. Mainly focus on aerial image object detection (oriented object detection).
Cli98/DMNet
Official implementation for DMNet: Density map guided object detection in aerial image (CVPR 2020 EarthVision workshop)
lzh420202/FCOSR
FCOSR: A Simple Anchor-free Rotated Detector for Aerial Object Detection
LiaoSteve/HAIDA-Trash-Dataset-High-Resolution-Aerial-image
Create plastic trash aerial image dataset - HAIDA
akhilpm/DroneSSOD
Semi-supervised aerial image object detection
monemati/YOLOv8-Sheep-Detection-Counting
YOLOv8 Aerial Sheep Detection and Counting. Simulated on Gazebo.
sunnyiisc/Fire-Detection-from-FLAME-Dataset
Deep Learning model implementation for Fire detection both classification and segmentation from the FLAME dataset.
chongkuiqi/S2ANet
A reimplementation of the S2ANet algorithm for Oriented Object Detection
lzh420202/TensorRT_Inference
An oriented object detection framework based on TensorRT
demidovd98/aerial_detection
Object Detection from Aierial Images with Different Approaches
ashutoshtiwari13/Quadrocoptorsimulator-Deep-learning
This project is about training a deep neural network to identify and track a target in simulation using Udacity's RoboND drone simulator. 🛸 Applications like this are key to many fields of robotics and the techniques applied can be extended to scenarios like advanced cruise control in autonomous vehicles or human-robot collaboration. 👨🏫
avijay24/AerialObjectDetection_FasterRCNN_YOLOv5_on_DOTA
Successfully optimized deep learning models to detect 15 distinct objects through implementation of image tiling and innovative Strategic Aerial Homogenization for Inference (SAHI) approach to improve mean average precision by 36%
octaviojardim/GCP_Finder
O GCP Finder é um programa identifica Aruco Markers em imagens.
kenttelebanco/Gotabang-Official
THESIS - Aerial Monitoring System Web Application
octaviojardim/Web-Interface-GCP-Finder
Web-Interface-GCP-Finder é um projeto que pretende simplificar a utilização da ferramenta GCP Finder, que em sí é um programa capaz de identificar Aruco Markers em imagens.
seedlit/aerial-sem-seg
You can use this repo to generate semantic segmentations on drone images using the trained model's checkpoint.
uavaustin/hawk-eye
Code for finding targets in aerial imagery.