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David Cavazosdandhlee
David Cavazos
and
dandhlee
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ppai: add more descriptions and links to videos (GoogleCloudPlatform#6783)
* add more descriptions and links to videos * Exclude Python 3.10 * Update noxfile_config.py * made more explicit video links Co-authored-by: Dan Lee <71398022+dandhlee@users.noreply.github.com>
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‎people-and-planet-ai/README.md‎

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## 🦏 [Wildlife Insights -- _image-classification_](image-classification)
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[![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/GoogleCloudPlatform/python-docs-samples/blob/master/people-and-planet-ai/image-classification/README.ipynb)
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> [Watch the video in YouTube<br> ![thumbnail](http://img.youtube.com/vi/hUzODH3uGg0/0.jpg)](https://youtu.be/hUzODH3uGg0)
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This model is trained to recognize animal species from
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[camera trap](https://en.wikipedia.org/wiki/Camera_trap)
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pictures.
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* **Model**: [AutoML] Vision
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* **Creating datasets**: [Apache Beam] in [Dataflow]
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* **Training the model**: [AutoML] in [Vertex AI]
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* **Getting predictions**: [Vertex AI]
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[Apache Beam]: https://beam.apache.org
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[Dataflow]: https://cloud.google.com/dataflow
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[AutoML]: https://cloud.google.com/vertex-ai/docs/beginner/beginners-guide
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[Vertex AI]: https://cloud.google.com/vertex-ai
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## 🗺 [Global Fishing Watch -- _timeseries-classification_](timeseries-classification)
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This model is trained to categorize if a ship is fishing or not every hour from their
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[![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/GoogleCloudPlatform/python-docs-samples/blob/master/people-and-planet-ai/timeseries-classification/README.ipynb)
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> [Watch the video in YouTube<br> ![thumbnail](http://img.youtube.com/vi/LnEhSVEJUuY/0.jpg)](https://youtu.be/LnEhSVEJUuY)
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This model is trained to classify if a ship is fishing or not every hour from their
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[_Maritime Mobile Service Identitiy_ (MMSI)](https://en.wikipedia.org/wiki/Maritime_Mobile_Service_Identity)
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location data.
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* **Model**: 1D Fully Convolutional Network in [Keras]
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* **Creating datasets**: [Apache Beam] in [Dataflow]
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* **Training the model**: [Keras] in [Vertex AI]
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* **Getting predictions**: [Keras] in [Cloud Run]
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[Apache Beam]: https://beam.apache.org
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[AutoML]: https://cloud.google.com/vertex-ai/docs/beginner/beginners-guide
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[Cloud Run]: https://cloud.google.com/run
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[Dataflow]: https://cloud.google.com/dataflow
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[Keras]: https://keras.io

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