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  • John Snow Labs
  • Jan 31, 2025

English medicinal_plants_image_detection_ayush7871 ViTForImageClassification from Ayush7871

  • en
  • open_source
  • onnx
  • image_classification
  • vit

Description

Pretrained ViTForImageClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.medicinal_plants_image_detection_ayush7871 is a English model originally trained by Ayush7871.

Download Copy S3 URI

How to use


		
		

image_assembler = ImageAssembler()\
  .setInputCol("image")\
  .setOutputCol("image_assembler")

imageClassifier = ViTForImageClassification.pretrained(""medicinal_plants_image_detection_ayush7871","en")\
  .setInputCols("image_assembler")\
  .setOutputCol("class")

pipeline = Pipeline(stages=[
  image_assembler,
  imageClassifier,
])

pipelineModel = pipeline.fit(imageDF)

pipelineDF = pipelineModel.transform(imageDF)



val imageAssembler = new ImageAssembler()
    .setInputCol("image")
    .setOutputCol("image_assembler")

val imageClassifier =  ViTForImageClassification.pretrained("medicinal_plants_image_detection_ayush7871","en") 
    .setInputCols("image_assembler") 
    .setOutputCol("class") 

val pipeline = new Pipeline().setStages(Array(imageAssembler, imageClassifier))

val pipelineModel = pipeline.fit(imageDF)

val pipelineDF = pipelineModel.transform(imageDF)

Model Information

Model Name: medicinal_plants_image_detection_ayush7871
Compatibility: Spark NLP 5.5.1+
License: Open Source
Edition: Official
Input Labels: [image_assembler]
Output Labels: [label]
Language: en
Size: 321.5 MB

References

https://huggingface.co/Ayush7871/medicinal_plants_image_detection