Modules in the 'docker' category

• multi_plankton_separation

  Model

  Automatic separation of objects in images containing multiple plankton organisms

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• ai4eosc_thunder_nowcast_ml

  Model

  Thunderstorm nowcast based on radar data (for agrometeorology)

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• litter_assessment_service

  Model

  Integration of DeepaaS API and litter assessment software

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• Phytoplankton species classifier (VLIZ)

  Model

  Identify the species level of Plankton

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• yolov8_api

  Model | Trainable | Inference | Pre-trained

  Train your own image classifier, object detection, or segmentation model with your custom dataset using the YOLOv8 model.

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• Object detection with FasterRCNN

  Model | Trainable | Inference | Pre-trained

  Object detection using FasterRCNN model(s) (fasterrcnn_pytorch_api)

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• marine_species_seg

  Model

  WIP Identification of marine species from EMSO Azores deep-sea obervatory

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• Apple tree blossom image segmentation

  Model | Trainable | Inference | Pre-trained

  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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• 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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• 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 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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• DEEP OC Retinopathy Test

  Model | Trainable | Inference | Pre-trained

  A Tensorflow model to classify Retinopathy.

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