Datasets:

issai
/

Global_Gastronomic_Culinary_Dataset

Tasks:

Object Detection

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Tags:

object recognition

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Dataset card Files Files and versions

aibota01 commited on Apr 7, 2025

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@@ -16,7 +16,7 @@ The original Nutrition5k contains images taken from an overhead angle for approx
 We annotated the Nutrition5k dataset with bounding boxes resulting in 12,839 images across 113 classes.
 The original CAFSD dataset contains 21,306 images spanning 239 classes. The final combined GFSD dataset contains 34,145 images across 241 food classes. Some visual examples of a few classes are shown for the annotated Nutrition5k and CAFSD datasets in the figure below.
-![Alt text](paper_front.png)
 *The images on the left illustrate the samples from the CAFSD dataset and on the right-hand side from the Nutrition5k dataset.*
 The table below shows the number of images per split and instances across three datasets.
@@ -53,7 +53,7 @@ The table below shows the number of images per split and instances across three
 The statistics of classes grouped into 18 coarse categories are shown in Figure below.
-![Alt text](side_by_side_categories.png)
 ## Project Files

 We annotated the Nutrition5k dataset with bounding boxes resulting in 12,839 images across 113 classes.
 The original CAFSD dataset contains 21,306 images spanning 239 classes. The final combined GFSD dataset contains 34,145 images across 241 food classes. Some visual examples of a few classes are shown for the annotated Nutrition5k and CAFSD datasets in the figure below.
+![Alt text](figures/paper_front.png)
 *The images on the left illustrate the samples from the CAFSD dataset and on the right-hand side from the Nutrition5k dataset.*
 The table below shows the number of images per split and instances across three datasets.
 The statistics of classes grouped into 18 coarse categories are shown in Figure below.
+![Alt text](figures/side_by_side_categories.png)
 ## Project Files