Datasets:
Tasks:
Zero-Shot Classification
Modalities:
Text
Formats:
json
Languages:
English
Size:
1M - 10M
Tags:
image recognition
License:
Update README.md
Browse files
README.md
CHANGED
@@ -1,3 +1,34 @@
|
|
1 |
---
|
2 |
license: apache-2.0
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
3 |
---
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
---
|
2 |
license: apache-2.0
|
3 |
+
language:
|
4 |
+
- en
|
5 |
+
tags:
|
6 |
+
- image recognition
|
7 |
+
task_categories:
|
8 |
+
- zero-shot-classification
|
9 |
+
size_categories:
|
10 |
+
- 10M<n<100M
|
11 |
---
|
12 |
+
|
13 |
+
# Recognize Anything 14M Dataset Card
|
14 |
+
|
15 |
+
## Dataset details
|
16 |
+
|
17 |
+
**Dataset type:**
|
18 |
+
These annotation files come from the Recognize Anything Model (RAM). RAM propose an automatic data engine to generate substantial image tags from image-text pairs.
|
19 |
+
|
20 |
+
**Dataset date:**
|
21 |
+
Recognize Anything 14M Dataset was collected in April 2023, by an automatic data engine proposed by RAM.
|
22 |
+
|
23 |
+
**Paper or resources for more information:**
|
24 |
+
https://github.com/xinyu1205/recognize-anything
|
25 |
+
|
26 |
+
**Where to send questions or comments about the model:**
|
27 |
+
https://github.com/xinyu1205/recognize-anything/issues
|
28 |
+
|
29 |
+
## Intended use
|
30 |
+
**Primary intended uses:**
|
31 |
+
The primary use of Recognize Anything is research on fundamental image recognition models.
|
32 |
+
|
33 |
+
**Primary intended users:**
|
34 |
+
The primary intended users of the model are researchers and hobbyists in computer vision, natural language processing, machine learning, and artificial intelligence.
|