amy h.'s starred repositories

amazon-sagemaker-tensorflow-object-detection-api

Train and deploy models using TensorFlow 2 with the Object Detection API on Amazon SageMaker

Language:PythonLicense:MIT-0Stargazers:45Issues:0Issues:0

amazon-sagemaker-aws-greengrass-custom-object-detection-model

End to end code samples for training an object detection model in Amazon SageMaker using the built-in SSD algorithm and running it on AWS IoT Greengrass.

Language:Jupyter NotebookLicense:MIT-0Stargazers:39Issues:0Issues:0

amazon-sagemaker-object-detection-from-scratch

Build a Custom Object Detection Model from Scratch with Amazon SageMaker and Deploy it at the Edge with AWS DeepLens. This workshop explains how you can leverage DeepLens to capture data at the edge and build a training data set with Amazon SageMaker Ground Truth. Then, train an object detection model with Amazon SageMaker and deploy it to AWS DeepLens.

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:9Issues:0Issues:0
Language:Jupyter NotebookStargazers:8Issues:0Issues:0

aws-elastic-inference-tensorflow-examples

AWS Tensorflow Elastic Inference cost analysis blog post code. Notebook measures the timing of running object detection on a video locally v. Elastic Inference.

Language:Jupyter NotebookLicense:NOASSERTIONStargazers:6Issues:0Issues:0

Script4DOTA

Those scripts is for DOTA dataset which focus on raw data

Language:PythonStargazers:1Issues:0Issues:0

DOTA_devkit_YOLO

Trans DOTA OBB format(poly format) to YOLO format.

Language:Jupyter NotebookStargazers:195Issues:0Issues:0
Language:Jupyter NotebookStargazers:3Issues:0Issues:0

og-aws

📙 Amazon Web Services — a practical guide

Language:ShellLicense:CC-BY-4.0Stargazers:35690Issues:0Issues:0

dotadevkit

Toolkit for working with the DOTA aerial object detection dataset

Language:C++Stargazers:37Issues:0Issues:0

aerial-object-detector

To develop a object detection system for aerial data

Language:PythonStargazers:26Issues:0Issues:0

iSAID_Devkit

[CVPR'W19-Oral] Official repository for "iSAID: A Large-scale Dataset for Instance Segmentation in Aerial Images"

Language:Jupyter NotebookStargazers:134Issues:0Issues:0

vitalab.github.io

Website of the Vitalab :

Language:HTMLStargazers:55Issues:0Issues:0
Language:Jupyter NotebookLicense:Apache-2.0Stargazers:9Issues:0Issues:0
Language:PythonLicense:Apache-2.0Stargazers:59Issues:0Issues:0

R2CNN-Plus-Plus_Tensorflow

This is a tensorflow implementation of R2CNN++: Multi-Dimensional Attention Based Rotation Invariant Detector with Robust Anchor Strategy.

Language:PythonLicense:MITStargazers:236Issues:0Issues:0
Language:PythonLicense:Apache-2.0Stargazers:793Issues:0Issues:0
Language:Jupyter NotebookStargazers:5Issues:0Issues:0

TensorFlow-Object-Detection-API-Tutorial-Train-Multiple-Objects-Windows-10

How to train a TensorFlow Object Detection Classifier for multiple object detection on Windows

Language:PythonStargazers:1Issues:0Issues:0

workshop-cvObjectDetection2018

Repository containing workshop materials for computer vision (object detection) exercises.

Language:Jupyter NotebookStargazers:6Issues:0Issues:0

ML_ObjectDetection_CAFO

Repository containing model development, training, and execution for the CAFO satellite imagery detection process.

Language:Jupyter NotebookStargazers:55Issues:0Issues:0

wine-quality-prediction-web-app

A machine learning-powered web application to predict the quality of wine based on some features

Stargazers:3Issues:0Issues:0

techniques

Techniques for deep learning with satellite & aerial imagery

License:Apache-2.0Stargazers:8513Issues:0Issues:0

StudyBook

Study E-Book(ComputerVision DeepLearning MachineLearning Math NLP Python ReinforcementLearning)

Stargazers:1539Issues:0Issues:0