739 Open source projects that are alternatives of or similar to Awesome Satellite Imagery Datasets

Non-maximum suppression for object detection in a neural network

Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds

Data Annotation, Data Labeling, Annotation Tooling, Training Data for Machine Learning

This is a new web-based photo management application. Run it on your home server and it will let you find the right photo from your collection on any device. Smart filtering is made possible by object recognition, location awareness, color analysis and other ML algorithms.

Project to train/test convolutional neural networks to extract buildings from SpaceNet satellite imageries.

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

GroupSoftmax cross entropy loss function for training with multiple different benchmark datasets

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Implementing Bag of Visual words approach for object classification and detection

Expose tensorflow-lite models via a rest API

Two-stage CenterNet

🎨 🎨 深度学习 卷积神经网络教程 ：图像识别，目标检测，语义分割，实例分割，人脸识别，神经风格转换，GAN等🎨🎨 https://dataxujing.github.io/CNN-paper2/

🍴 Annotations for the EPIC KITCHENS-55 Dataset.

CV 论文笔记

FaceBoxes for hand detection in PyTorch

This repository provides train＆test code, dataset, det.&rec. annotation, evaluation script, annotation tool, and ranking.

An easy implementation of Faster R-CNN (https://arxiv.org/pdf/1506.01497.pdf) in PyTorch.

Real-time Detectron using webcam.

Use the Tensorflow Object Detection API with Tensorflow 2

This repository allows you to get started with training a state-of-the-art Deep Learning model with little to no configuration needed! You provide your labeled dataset or label your dataset using our BMW-LabelTool-Lite and you can start the training right away and monitor it in many different ways like TensorBoard or a custom REST API and GUI. NoCode training with YOLOv4 and YOLOV3 has never been so easy.

Meta R-CNN : Towards General Solver for Instance-level Low-shot Learning

TernausNetV2: Fully Convolutional Network for Instance Segmentation

A newly built high-resolution dataset for object detection and pedestrian detection (IEEE TIP 2020)

Random Erasing Data Augmentation. Experiments on CIFAR10, CIFAR100 and Fashion-MNIST

简明 SSD 目标检测模型 keras version（交通标志识别 训练部分见 dev 分支）

Interactive interface for browsing global, full-resolution satellite imagery

Deep Hough Voting for 3D Object Detection in Point Clouds

A Python wrapper on Darknet. Compatible with YOLO V3.

YOLO3D: End-to-end real-time 3D Oriented Object Bounding Box Detection from LiDAR Point Cloud (ECCV 2018)

The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.

Tool to download Sentinel images from PEPS sentinel mirror site : https://peps.cnes.fr

An Unsupervised Learning Framework for Moving Object Detection From Videos

SOLO: Segmenting Objects by Locations

A simple yet highly configurable bot that tweets geotagged aerial imagery of a random location in the world.

study resources of model and engineering

A TensorFlow 2.0 implementation of YOLOv4: Optimal Speed and Accuracy of Object Detection

Complete YOLO v3 TensorFlow implementation. Support training on your own dataset.

Best Practices, code samples, and documentation for Computer Vision.

Feature Pyramid Networks for Object Detection

This is sample code for object detection using OpenCV on android

🕶 A curated list of Tiny Object Detection papers and related resources.

In-Browser Object Detection using Tiny YOLO on Tensorflow.js

Frustum PointNets for 3D Object Detection from RGB-D Data

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Object detection project for real-time (webcam) and offline (video processing) application.

A PyTorch Implementation of Jiaxuan You's Deep Gaussian Process for Crop Yield Prediction

A curated list of awesome tools, tutorials, code, helpful projects, links, stuff about Earth Observation and Geospatial stuff!

Implement of paper 《Attention-guided Context Feature Pyramid Network for Object Detection》

Ros package for basic autonomous lane tracking and object detection

🔥🔥AidLearning is a powerful mobile development platform, AidLearning builds a linux env supporting GUI, deep learning and visual IDE on Android...Now Aid supports OpenCL (GPU+NPU) for high performance acceleration...Linux on Android or HarmonyOS

Serve machine learning models using tensorflow serving

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This easy-to-use library splits images and its bounding box annotations into tiles, both into specific sizes and into any arbitrary number of equal parts. It can also resize them, both by specific sizes and by a resizing/scaling factor.

Official implementation for DMNet: Density map guided object detection in aerial image (CVPR 2020 EarthVision workshop)

TensorFlow implementation of SqueezeDet, trained on the KITTI dataset.

A paper list of object detection using deep learning.

FPGA: Fast Patch-Free Global Learning Framework for Fully End-to-End Hyperspectral Image Classification (TGRS 2020) https://ieeexplore.ieee.org/document/9007624

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite