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
@@ -1,9 +1,47 @@
|
|
1 |
---
|
2 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
3 |
---
|
4 |
|
5 |
-
[Needs More Information]
|
6 |
-
|
7 |
# Dataset Card for tiny-imagenet
|
8 |
|
9 |
## Dataset Description
|
@@ -12,7 +50,6 @@ license: afl-3.0
|
|
12 |
- **Repository:** [Needs More Information]
|
13 |
- **Paper:** http://cs231n.stanford.edu/reports/2017/pdfs/930.pdf
|
14 |
- **Leaderboard:** https://paperswithcode.com/sota/image-classification-on-tiny-imagenet-1
|
15 |
-
- **Point of Contact:** [Needs More Information]
|
16 |
|
17 |
### Dataset Summary
|
18 |
|
@@ -42,4 +79,4 @@ The class labels in the dataset are in English.
|
|
42 |
|
43 |
| | Train | Valid |
|
44 |
| ------------ | ------ | ----- |
|
45 |
-
| # of samples | 100000 | 10000 |
|
|
|
1 |
---
|
2 |
+
annotations_creators:
|
3 |
+
- crowdsourced
|
4 |
+
extra_gated_prompt: "By clicking on \u201CAccess repository\u201D below, you also\
|
5 |
+
\ agree to ImageNet Terms of Access:\n[RESEARCHER_FULLNAME] (the \"Researcher\"\
|
6 |
+
) has requested permission to use the ImageNet database (the \"Database\") at Princeton\
|
7 |
+
\ University and Stanford University. In exchange for such permission, Researcher\
|
8 |
+
\ hereby agrees to the following terms and conditions:\n1. Researcher shall use\
|
9 |
+
\ the Database only for non-commercial research and educational purposes.\n2. Princeton\
|
10 |
+
\ University, Stanford University and Hugging Face make no representations or warranties\
|
11 |
+
\ regarding the Database, including but not limited to warranties of non-infringement\
|
12 |
+
\ or fitness for a particular purpose.\n3. Researcher accepts full responsibility\
|
13 |
+
\ for his or her use of the Database and shall defend and indemnify the ImageNet\
|
14 |
+
\ team, Princeton University, Stanford University and Hugging Face, including their\
|
15 |
+
\ employees, Trustees, officers and agents, against any and all claims arising from\
|
16 |
+
\ Researcher's use of the Database, including but not limited to Researcher's use\
|
17 |
+
\ of any copies of copyrighted images that he or she may create from the Database.\n\
|
18 |
+
4. Researcher may provide research associates and colleagues with access to the\
|
19 |
+
\ Database provided that they first agree to be bound by these terms and conditions.\n\
|
20 |
+
5. Princeton University, Stanford University and Hugging Face reserve the right\
|
21 |
+
\ to terminate Researcher's access to the Database at any time.\n6. If Researcher\
|
22 |
+
\ is employed by a for-profit, commercial entity, Researcher's employer shall also\
|
23 |
+
\ be bound by these terms and conditions, and Researcher hereby represents that\
|
24 |
+
\ he or she is fully authorized to enter into this agreement on behalf of such employer.\n\
|
25 |
+
7. The law of the State of New Jersey shall apply to all disputes under this agreement."
|
26 |
+
language:
|
27 |
+
- en
|
28 |
+
language_creators:
|
29 |
+
- crowdsourced
|
30 |
+
license: []
|
31 |
+
multilinguality:
|
32 |
+
- monolingual
|
33 |
+
paperswithcode_id: imagenet
|
34 |
+
pretty_name: Tiny-ImageNet
|
35 |
+
size_categories:
|
36 |
+
- 100K<n<1M
|
37 |
+
source_datasets:
|
38 |
+
- extended|imagenet-1k
|
39 |
+
task_categories:
|
40 |
+
- image-classification
|
41 |
+
task_ids:
|
42 |
+
- multi-class-image-classification
|
43 |
---
|
44 |
|
|
|
|
|
45 |
# Dataset Card for tiny-imagenet
|
46 |
|
47 |
## Dataset Description
|
|
|
50 |
- **Repository:** [Needs More Information]
|
51 |
- **Paper:** http://cs231n.stanford.edu/reports/2017/pdfs/930.pdf
|
52 |
- **Leaderboard:** https://paperswithcode.com/sota/image-classification-on-tiny-imagenet-1
|
|
|
53 |
|
54 |
### Dataset Summary
|
55 |
|
|
|
79 |
|
80 |
| | Train | Valid |
|
81 |
| ------------ | ------ | ----- |
|
82 |
+
| # of samples | 100000 | 10000 |
|