Datasets:

renumics
/

food101-enriched

Tasks:

Image Classification

Sub-tasks:

multi-class-image-classification

Languages:

Size:

Tags:

image classification

food-101-enriched

License:

Dataset card Files Files and versions Community

sps44 commited on May 9, 2023

Commit

b1c0bc2

•

1 Parent(s): 722bcc5

add label string

Files changed (1) hide show

food101-enriched.py +5 -5

food101-enriched.py CHANGED Viewed

@@ -191,7 +191,7 @@ class Food101Enriched(datasets.GeneratorBasedBuilder):
                 {
                     "image": datasets.Value("string"),
                     "label": datasets.features.ClassLabel(names=_NAMES),
-                    #"label_str": datasets.Value("string"),
                     "split": datasets.Value("string"),
                 }
             ),
@@ -224,7 +224,7 @@ class Food101Enriched(datasets.GeneratorBasedBuilder):
             df = metadata[metadata['split']=='train']
         if split == "test":
-            df = metadata[metadata['split']=='test']
         if split == "all":
             df = metadata
@@ -240,7 +240,7 @@ class Food101Enriched(datasets.GeneratorBasedBuilder):
             result = {
                 'image': img_path,
                 'label': row['label'],
-                #'label_str': row['fine_label_str'],
                 'split': split,
             }
             yield index, result
@@ -251,5 +251,5 @@ class Food101Enriched(datasets.GeneratorBasedBuilder):
-if __name__ == "__main__":
-    ds = load_dataset("food101-enriched.py", split="all")

                 {
                     "image": datasets.Value("string"),
                     "label": datasets.features.ClassLabel(names=_NAMES),
+                    "label_str": datasets.Value("string"),
                     "split": datasets.Value("string"),
                 }
             ),
             df = metadata[metadata['split']=='train']
         if split == "test":
+            df = metadata[metadata['split']=='validation']
         if split == "all":
             df = metadata
             result = {
                 'image': img_path,
                 'label': row['label'],
+                'label_str': row['label'],
                 'split': split,
             }
             yield index, result
+#if __name__ == "__main__":
+#    ds = load_dataset("food101-enriched.py", split="all")