🌍 People & Planet AI

🦏 Wildlife Insights -- image-classification

Watch the video in YouTube

This model is trained to recognize animal species from camera trap pictures.

Model: AutoML Vision
Creating datasets: Apache Beam in Dataflow
Training the model: AutoML in Vertex AI
Getting predictions: Vertex AI

🗺 Global Fishing Watch -- timeseries-classification

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This model is trained to classify if a ship is fishing or not every hour from their Maritime Mobile Service Identity (MMSI) location data.

Model: 1D Fully Convolutional Network in Keras
Creating datasets: Apache Beam in Dataflow
Training the model: Keras in Vertex AI
Getting predictions: Keras in Cloud Run

🏭 Coal Plant Predictions -- geospatial-classification

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This model uses satellite data to predict if a coal plant is turned on and producing carbon emissions. The satellite data comes from Google Earth Engine.

Model: 1D Fully Convolutional Network in TensorFlow
Creating datasets: Sentinel-2 satellite data from Earth Engine
Training the model: TensorFlow in Vertex AI
Getting predictions: TensorFlow in Cloud Run

🌍 Land cover classification -- image segmentation

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This model uses satellite data to classify what is on Earth. The satellite data comes from Google Earth Engine.

Model: 2D Fully Convolutional Network in TensorFlow
Creating datasets: Sentinel-2 satellite data and ESA WorldCover from Earth Engine with Dataflow
Training the model: TensorFlow in Vertex AI
Getting predictions: TensorFlow in Cloud Run (real-time) and Dataflow (batch)

🌦 Weather forecasting -- timeseries regression

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This model uses satellite data to forecast precipitation for the next 2 and 6 hours. The satellite data comes from Google Earth Engine.

Model: 2D Fully Convolutional Network in PyTorch
Creating datasets: Sentinel-2 satellite data and ESA WorldCover from Earth Engine with Dataflow
Training the model: PyTorch in Vertex AI
Getting predictions: PyTorch locally