update groupings for new samples
" * Object Detection\n",
" * [Detecting Palm Trees using Deep Learning](/python/samples/detecting-palm-trees-using-deep-learning)\n",
" * [Detecting Swimming Pools using Automated Deep Learning](/python/samples/detecting-swimming-pools-using-automated-machine-learning)\n",
+ " * [Traffic Light Detection in Oriented Imagery Using ArcGIS Pretrained Model](/python/samples/traffic-light-detection-on-oriented-imagery)\n",
" * Feature Extraction\n",
- " * [Streams extraction using deep learning](/python/samples/streams-extraction-using-deeplearning)\n",
" * [Extracting features and Land Use Land Cover using Panoptic Segmentation ](/python/samples/extracting0-features-and-land-use-land-cover-using-panoptic-segmentation)\n",
+ " * [Flood inundation mapping and monitoring using SAR data and deep learning](/python/samples/flood-inundation-mapping-using-sar-data-and-deep-learning)\n",
" * [Coastline extraction using Landsat-8 multispectral imagery and band ratio technique](/python/samples/coastline-extraction-usa-landsat8-multispectral-imagery)\n",
- " * Object Classification\n",
- " * [Traffic Light Detection in Oriented Imagery Using ArcGIS Pretrained Model](/python/samples/traffic-light-detection-on-oriented-imagery)\n",
" * Generative Models\n",
" * [Generating Land Surface Temperature from multispectral imagery using Pix2Pix](/python/samples/generating-lst-from-multispectral-imagery-using-pix2pix)\n",
" * [Generating cloud masks from satellite imagery - Part I ](/python/samples/cloud-detector-part1-cloudless-sentinel-&-unsupervised)\n",
- " * Other Imagery Use Cases\n",
- " * [Flood inundation mapping and monitoring using SAR data and deep learning](/python/samples/flood-inundation-mapping-using-sar-data-and-deep-learning)\n",
- " * [Cloud removal using pre-trained deep learning model and raster function](/python/samples/cloud-removal-using-pre-trained-deep-learning-model-and-raster-function)\n",
+ " * Tabular Data Forecasting\n",
" * [Property Valuation in King County USA using AutoML and Geoenriched data](/python/samples/house-price-prediction-using-automl)\n",
"* [Content Publishers](/python/samples)\n",
" * [Publishing and Consuming OGC Services](/python/samples/publish-ogc-services)\n",
