Official code of the paper "Align Deep Features for Oriented Object Detection"
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Updated
Dec 15, 2024 - Python
Official code of the paper "Align Deep Features for Oriented Object Detection"
Detect objects in drone videos and plot them on a map
The code for “Oriented RepPoints for Aerial Object Detection (CVPR 2022)”
JDet is an object detection benchmark based on Jittor. Mainly focus on aerial image object detection (oriented object detection).
Official implementation for DMNet: Density map guided object detection in aerial image (CVPR 2020 EarthVision workshop)
VisDrone aerial object detection toolkit with 33 models (Torchvision + YOLO), training, evaluation, video inference, benchmarking, and annotation conversion.
FCOSR: A Simple Anchor-free Rotated Detector for Aerial Object Detection
Deep Learning model implementation for Fire detection both classification and segmentation from the FLAME dataset.
YOLOv8 Aerial Sheep Detection and Counting. Simulated on Gazebo.
Semi-supervised aerial image object detection
Create plastic trash aerial image dataset - HAIDA
An oriented object detection framework based on TensorRT
A reimplementation of the S2ANet algorithm for Oriented Object Detection
Object Detection from Aierial Images with Different Approaches
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%
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. 👨🏫
O GCP Finder é um programa identifica Aruco Markers em imagens.
Swimming Pools Detection using YoloV11 and Trained by an Aerial Images Dataset
Semantic segmentation of lane markings from aerial imagery using DeepLabV3+ model
You can use this repo to generate semantic segmentations on drone images using the trained model's checkpoint.
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