Image pipelines spec compliance (#33899)

* Update many similar visual pipelines

* Add input tests

* Add ImageToText as well

* Add output tests

* Add output tests

* Add output tests

* OutputElement -> Output

* Correctly test elements

* make fixup

* fix typo in the task list

* Fix VQA testing

* Add copyright to image_classification.py

* Revert changes to VQA pipeline because outputs have differences - will move to another PR

* make fixup

* Remove deprecation warnings

tests/pipelines/test_pipelines_image_classification.py

@@ -14,6 +14,8 @@
 
 import unittest
 
+from huggingface_hub import ImageClassificationOutputElement
+
 from transformers import (
     MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING,
     TF_MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING,
@@ -23,6 +25,7 @@ from transformers import (
 )
 from transformers.pipelines import ImageClassificationPipeline, pipeline
 from transformers.testing_utils import (
+    compare_pipeline_output_to_hub_spec,
     is_pipeline_test,
     nested_simplify,
     require_tf,
@@ -121,6 +124,10 @@ class ImageClassificationPipelineTests(unittest.TestCase):
             ],
         )
 
+        for single_output in outputs:
+            for output_element in single_output:
+                compare_pipeline_output_to_hub_spec(output_element, ImageClassificationOutputElement)
+
     @require_torch
     def test_small_model_pt(self):
         small_model = "hf-internal-testing/tiny-random-vit"