Datasets:
Tasks:
Image Classification
Modalities:
Image
Formats:
parquet
Sub-tasks:
multi-class-image-classification
Languages:
English
Size:
100K - 1M
Update README.md
Browse files
README.md
CHANGED
@@ -73,7 +73,7 @@ The class labels in the dataset are in English.
|
|
73 |
### Data Fields
|
74 |
|
75 |
- image: A PIL.Image.Image object containing the image. Note that when accessing the image column: dataset[0]["image"] the image file is automatically decoded. Decoding of a large number of image files might take a significant amount of time. Thus it is important to first query the sample index before the "image" column, i.e. dataset[0]["image"] should always be preferred over dataset["image"][0].
|
76 |
-
- label: an int classification label. -1 for test set as the labels are missing.
|
77 |
|
78 |
### Data Splits
|
79 |
|
|
|
73 |
### Data Fields
|
74 |
|
75 |
- image: A PIL.Image.Image object containing the image. Note that when accessing the image column: dataset[0]["image"] the image file is automatically decoded. Decoding of a large number of image files might take a significant amount of time. Thus it is important to first query the sample index before the "image" column, i.e. dataset[0]["image"] should always be preferred over dataset["image"][0].
|
76 |
+
- label: an int classification label. -1 for test set as the labels are missing. Check `classes.py` for the map of numbers & labels.
|
77 |
|
78 |
### Data Splits
|
79 |
|