DEEP Open Catalog

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• Apple tree blossom image segmentation

  Model

  We suggest a 2D image segmentation model based on UNET algorithm to segment images with blossoming apple tree

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• 2D semantic segmentation multilabels with Unet

  Model

  Semantic segmentation with Unet Deep Learning model applied to segment Cercospora Leaf Spot.

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• demo_app

  Model

  A toy application for demo and testing purposes. We just implement dummy inference, ie. we return the same inputs we are fed.

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• Artistic style transfer

  Model | Trainable | Inference | Pre-trained

  A module to apply artistic style transfer using pytorch.

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• Bird sound classifier

  Model | Trainable | Inference | Pre-trained

  Classify audio files among bird species from the Xenocanto dataset.

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• TF Benchmarks

  Model | Trainable

  tf_cnn_benchmarks accessed via DEEPaaS API

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• Object Detection and Classification with Pytorch

  Model | Trainable | Inference | Pre-trained

  A trained Region Convolutional Neural Network (Faster RCNN) for object detection and classification.

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• 2D semantic segmentation

  Model | Trainable | Inference | Pre-trained

  2D semantic segmentation trained on the Vaihingen dataset

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• Train an audio classifier

  Model | Trainable | Inference | Pre-trained

  Train your own audio classifier with your custom dataset. It comes also pretrained on the 527 AudioSet classes.

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• Body pose detection

  Model | Inference | Pre-trained

  Detect body poses in images.

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• Speech keywords classifier

  Model | Trainable | Inference

  Train a speech classifier to classify audio files between different keywords.

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• DEEP Development Environment

  Model

  This is a Docker image for developing new modules

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• DEEP OC Massive Online Data Streams

  Model | Trainable | Inference

  Deep learning for proactive network monitoring and security protection.

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• Conus species classifier

  Model | Trainable | Inference | Pre-trained

  Classify conus images among 70 species.

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• Train an image classifier

  Model | Trainable | Inference | Pre-trained

  Train your own image classifier with your custom dataset. It comes also pretrained on the 1K ImageNet classes.

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• Chest x-ray image classifier

  Model | Inference | Pre-trained | Trainable

  Classify chest x-ray images in patological and non patological with this x-ray classifier.

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• Phytoplankton species classifier

  Model | Trainable | Inference | Pre-trained

  Classify phytoplankton images among 60 classes.

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• Plants species classifier

  Model | Trainable | Inference | Pre-trained

  Classify plant images among 10K species from the iNaturalist dataset.

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• Upscale multispectral satellites images

  Model | Trainable | Inference | Pre-trained

  Upscale (superresolve) low resolution bands to high resolution in multispectral satellite imagery.

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• Seed species classifier

  Model | Trainable | Inference | Pre-trained

  Classify seeds images among 700K species.

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• Dogs breed detector

  Model | Trainable | Inference | Pre-trained

  Identify a dogs breed on the image (133 known breeds)

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• DEEP OC Retinopathy Test

  Model | Trainable | Inference | Pre-trained

  A Tensorflow model to classify Retinopathy.

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• DEEP Data Science template

  Tool

  A logical, reasonably standardized, but flexible project structure for doing and sharing data science work. Based on more general data science template.

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