aerial-image-detection
There are 1 repository under aerial-image-detection topic.
- Language:Python 364
LiWentomng / OrientedRepPoints
The code for “Oriented RepPoints for Aerial Object Detection (CVPR 2022)”
Language:Python 258Jittor / JDet
JDet is an object detection benchmark based on Jittor. Mainly focus on aerial image object detection (oriented object detection).
Language:Python 167- dji-aerial-georeferencing
roboflow / dji-aerial-georeferencing
Detect objects in drone videos and plot them on a map
Language:JavaScript 159 Cli98 / DMNet
Official implementation for DMNet: Density map guided object detection in aerial image (CVPR 2020 EarthVision workshop)
Language:Python 88- Language:Jupyter Notebook 71
LiaoSteve / HAIDA-Trash-Dataset-High-Resolution-Aerial-image
Create plastic trash aerial image dataset - HAIDA
- Language:Python 11
monemati / YOLOv8-Sheep-Detection-Counting
YOLOv8 Aerial Sheep Detection and Counting. Simulated on Gazebo.
Language:Python 11lzh420202 / TensorRT_Inference
An oriented object detection framework based on TensorRT
Language:Python 9chongkuiqi / S2ANet
A reimplementation of the S2ANet algorithm for Oriented Object Detection
Language:Python 8sunnyiisc / Fire-Detection-from-FLAME-Dataset
Deep Learning model implementation for Fire detection both classification and segmentation from the FLAME dataset.
Language:Python 7ashutoshtiwari13 / 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. 👨🏫
Language:Jupyter Notebook 2avijay24 / 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%
Language:Jupyter Notebook 2demidovd98 / aerial_detection
Object Detection from Aierial Images with Different Approaches
Language:Python 2octaviojardim / GCP_Finder
O GCP Finder é um programa identifica Aruco Markers em imagens.
Language:Python 1- Language:Jupyter Notebook 0
kenttelebanco / Gotabang-Official
THESIS - Aerial Monitoring System Web Application
Language:TypeScript 0Web-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.
Language:HTML 0seedlit / aerial-sem-seg
You can use this repo to generate semantic segmentations on drone images using the trained model's checkpoint.
Language:Jupyter Notebook 0- Language:Python 0
