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  • John Snow Labs
  • Oct 12, 2022

English pipeline_image_classifier_vit_base_patch16_224_in21k_euroSat ViTForImageClassification from philschmid

  • vit
  • en
  • images
  • open_source
  • pipeline

Description

Pretrained VIT model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.image_classifier_vit_base_patch16_224_in21k_euroSat is a English model originally trained by philschmid.

Predicted Entities

Residential, AnnualCrop, Highway, Pasture, SeaLake, Industrial, HerbaceousVegetation, River, PermanentCrop, Forest

Download Copy S3 URI

How to use


    pipeline = PretrainedPipeline('pipeline_image_classifier_vit_base_patch16_224_in21k_euroSat', lang = 'en')
    annotations =  pipeline.transform(imageDF)
    


    val pipeline = new PretrainedPipeline("pipeline_image_classifier_vit_base_patch16_224_in21k_euroSat", lang = "en")
    val annotations = pipeline.transform(imageDF)

Model Information

Model Name: pipeline_image_classifier_vit_base_patch16_224_in21k_euroSat
Type: pipeline
Compatibility: Spark NLP 4.2.1+
License: Open Source
Edition: Official
Language: en
Size: 321.9 MB

Included Models

  • ImageAssembler
  • ViTForImageClassification