Skip to content

Commit

Permalink
fix kaggle
Browse files Browse the repository at this point in the history
  • Loading branch information
@robmarkcole
robmarkcole committed Mar 14, 2024
1 parent a708a60 commit af9e923
Showing 1 changed file with 18 additions and 18 deletions.
36 changes: 18 additions & 18 deletions README.md
View file
Original file line number Diff line number Diff line change
Expand Up @@ -256,7 +256,7 @@ A Large-scale Dataset for Remote Sensing Object Counting and A Benchmark Method

## AIRS (Aerial Imagery for Roof Segmentation)
Public dataset for roof segmentation from very-high-resolution aerial imagery (7.5cm). Covers almost the full area of Christchurch, the largest city in the South Island of New Zealand.
* [On Kaggle](https://www.kaggle.com/atilol/aerialimageryforroofsegmentation)
* [On Kaggle](https://www.kaggle.com/datasets/atilol/aerialimageryforroofsegmentation)
* [Rooftop-Instance-Segmentation](https://github.com/MasterSkepticista/Rooftop-Instance-Segmentation) -> VGG-16, Instance Segmentation, uses the Airs dataset

## Inria building/not building segmentation dataset
Expand Down Expand Up @@ -397,7 +397,7 @@ Since there is a whole community around GEE I will not reproduce it here but lis

## Weather Datasets
* NASA (make request and emailed when ready) -> https://search.earthdata.nasa.gov
* NOAA (requires BigQuery) -> https://www.kaggle.com/noaa/goes16/home
* NOAA (requires BigQuery) -> https://www.kaggle.com/datasets/noaa/goes16/home
* Time series weather data for several US cities -> https://www.kaggle.com/selfishgene/historical-hourly-weather-data
* [DeepWeather](https://github.com/adamhazimeh/DeepWeather) -> improve weather forecasting accuracy by analyzing satellite images

Expand Down Expand Up @@ -591,12 +591,12 @@ The [kaggle blog](http://blog.kaggle.com) is an interesting read.
* [Image Segmentation: Kaggle experience](https://towardsdatascience.com/image-segmentation-kaggle-experience-9a41cb8924f0) -> Medium article by gold medal winner Vlad Shmyhlo

### Kaggle - Shipsnet classification dataset
* https://www.kaggle.com/rhammell/ships-in-satellite-imagery -> Classify ships in San Franciso Bay using Planet satellite imagery
* https://www.kaggle.com/datasets/rhammell/ships-in-satellite-imagery -> Classify ships in San Franciso Bay using Planet satellite imagery
* 4000 80x80 RGB images labeled with either a "ship" or "no-ship" classification, 3 meter pixel size
* [shipsnet-detector](https://github.com/rhammell/shipsnet-detector) -> Detect container ships in Planet imagery using machine learning

### Kaggle - Ships in Google Earth
* https://www.kaggle.com/tomluther/ships-in-google-earth
* https://www.kaggle.com/datasets/tomluther/ships-in-google-earth
* 794 jpegs showing various sized ships in satellite imagery, annotations in Pascal VOC format for object detection models
* [/kaggle-ships-in-satellite-imagery-with-YOLOv8](https://github.com/robmarkcole/kaggle-ships-in-satellite-imagery-with-YOLOv8)

Expand All @@ -607,12 +607,12 @@ The [kaggle blog](http://blog.kaggle.com) is an interesting read.
* [Ship-Detection-Using-Satellite-Imagery](https://github.com/Dhruvisha29/Ship-Detection-Using-Satellite-Imagery)

### Kaggle - Swimming pool and car detection using satellite imagery
* https://www.kaggle.com/kbhartiya83/swimming-pool-and-car-detection
* https://www.kaggle.com/datasets/kbhartiya83/swimming-pool-and-car-detection
* 3750 satellite images of residential areas with annotation data for swimming pools and cars
* [Object detection on Satellite Imagery using RetinaNet](https://medium.com/@ije_good/object-detection-on-satellite-imagery-using-retinanet-part-1-training-e589975afbd5)

### Kaggle - Planesnet classification dataset
* https://www.kaggle.com/rhammell/planesnet -> Detect aircraft in Planet satellite image chips
* https://www.kaggle.com/datasets/rhammell/planesnet -> Detect aircraft in Planet satellite image chips
* 20x20 RGB images, the "plane" class includes 8000 images and the "no-plane" class includes 24000 images
* [Dataset repo](https://github.com/rhammell/planesnet) and [planesnet-detector](https://github.com/rhammell/planesnet-detector) demonstrates a small CNN classifier on this dataset
* [ergo-planes-detector](https://github.com/evilsocket/ergo-planes-detector) -> An ergo based project that relies on a convolutional neural network to detect airplanes from satellite imagery, uses the PlanesNet dataset
Expand Down Expand Up @@ -729,12 +729,12 @@ Classify the target in a SAR image chip as either a ship or an iceberg. The data

### Kaggle - Next Day Wildfire Spread
A Data Set to Predict Wildfire Spreading from Remote-Sensing Data
* https://www.kaggle.com/fantineh/next-day-wildfire-spread
* https://www.kaggle.com/datasets/fantineh/next-day-wildfire-spread
* https://arxiv.org/abs/2112.02447

### Kaggle - Satellite Next Day Wildfire Spread
Inspired by the above dataset, using different data sources
* https://www.kaggle.com/satellitevu/satellite-next-day-wildfire-spread
* https://www.kaggle.com/datasets/satellitevu/satellite-next-day-wildfire-spread
* https://github.com/SatelliteVu/SatelliteVu-AWS-Disaster-Response-Hackathon

## Kaggle - Spacenet 7 Multi-Temporal Urban Change Detection
Expand All @@ -757,7 +757,7 @@ Inspired by the above dataset, using different data sources

## Kaggle - Overhead-MNIST
* A Benchmark Satellite Dataset as Drop-In Replacement for MNIST
* https://www.kaggle.com/datamunge/overheadmnist -> kaggle
* https://www.kaggle.com/datasets/datamunge/overheadmnist -> kaggle
* https://arxiv.org/abs/2102.04266 -> paper
* https://github.com/reveondivad/ov-mnist -> github

Expand All @@ -779,15 +779,15 @@ Inspired by the above dataset, using different data sources
* [noaa](https://github.com/darraghdog/noaa) -> UNET, object detection and image level regression approaches

### Kaggle - miscellaneous
* https://www.kaggle.com/reubencpereira/spatial-data-repo -> Satellite + loan data
* https://www.kaggle.com/towardsentropy/oil-storage-tanks -> Image data of industrial oil tanks with bounding box annotations, estimate tank fill % from shadows
* https://www.kaggle.com/airbusgeo/airbus-wind-turbines-patches -> Airbus SPOT satellites images over wind turbines for classification
* https://www.kaggle.com/aceofspades914/cgi-planes-in-satellite-imagery-w-bboxes -> CGI planes object detection dataset
* https://www.kaggle.com/atilol/aerialimageryforroofsegmentation -> Aerial Imagery for Roof Segmentation
* https://www.kaggle.com/andrewmvd/ship-detection -> 621 images of boats and ships
* https://www.kaggle.com/alpereniek/vehicle-detection-from-satellite-images-data-set
* https://www.kaggle.com/sergiishchus/maxar-satellite-data -> Example Maxar data at 15 cm resolution
* https://www.kaggle.com/cici118/swimming-pool-detection-algarves-landscape
* https://www.kaggle.com/datasets/reubencpereira/spatial-data-repo -> Satellite + loan data
* https://www.kaggle.com/datasets/towardsentropy/oil-storage-tanks -> Image data of industrial oil tanks with bounding box annotations, estimate tank fill % from shadows
* https://www.kaggle.com/datasets/airbusgeo/airbus-wind-turbines-patches -> Airbus SPOT satellites images over wind turbines for classification
* https://www.kaggle.com/datasets/aceofspades914/cgi-planes-in-satellite-imagery-w-bboxes -> CGI planes object detection dataset
* https://www.kaggle.com/datasets/atilol/aerialimageryforroofsegmentation -> Aerial Imagery for Roof Segmentation
* https://www.kaggle.com/datasets/andrewmvd/ship-detection -> 621 images of boats and ships
* https://www.kaggle.com/datasets/alpereniek/vehicle-detection-from-satellite-images-data-set
* https://www.kaggle.com/datasets/sergiishchus/maxar-satellite-data -> Example Maxar data at 15 cm resolution
* https://www.kaggle.com/datasets/cici118/swimming-pool-detection-algarves-landscape
* https://www.kaggle.com/datasets/donkroco/solar-panel-module -> object detection for solar panels
* https://www.kaggle.com/datasets/balraj98/deepglobe-road-extraction-dataset -> segment roads
* https://www.kaggle.com/datasets/towardsentropy/oil-storage-tanks -> Image data of industrial Oil Storage Tanks with bounding box annotations
Expand Down

0 comments on commit af9e923

Please sign in to comment.