Add image-classification to task categories
#3
by
nielsr
HF Staff
- opened
README.md
CHANGED
@@ -1,5 +1,11 @@
|
|
1 |
---
|
2 |
license: cc-by-nc-4.0
|
|
|
|
|
|
|
|
|
|
|
|
|
3 |
dataset_info:
|
4 |
features:
|
5 |
- name: image
|
@@ -25,18 +31,11 @@ configs:
|
|
25 |
path: data/train-*
|
26 |
- split: valid
|
27 |
path: data/valid-*
|
28 |
-
task_categories:
|
29 |
-
- image-segmentation
|
30 |
tags:
|
31 |
- food
|
32 |
- foodquality
|
33 |
-
pretty_name: RaspGrade
|
34 |
-
size_categories:
|
35 |
-
- 1K<n<10K
|
36 |
---
|
37 |
|
38 |
-
|
39 |
-
|
40 |
---
|
41 |
# π The RaspGrade Dataset: Towards Automatic Raspberry Ripeness Grading with Deep Learning
|
42 |
This research investigates the application of computer vision for rapid, accurate, and non-invasive food quality assessment, focusing on the novel challenge of real-time raspberry grading into five distinct classes within an industrial environment as the fruits move along a conveyor belt.
|
|
|
1 |
---
|
2 |
license: cc-by-nc-4.0
|
3 |
+
size_categories:
|
4 |
+
- 1K<n<10K
|
5 |
+
task_categories:
|
6 |
+
- image-segmentation
|
7 |
+
- image-classification
|
8 |
+
pretty_name: RaspGrade
|
9 |
dataset_info:
|
10 |
features:
|
11 |
- name: image
|
|
|
31 |
path: data/train-*
|
32 |
- split: valid
|
33 |
path: data/valid-*
|
|
|
|
|
34 |
tags:
|
35 |
- food
|
36 |
- foodquality
|
|
|
|
|
|
|
37 |
---
|
38 |
|
|
|
|
|
39 |
---
|
40 |
# π The RaspGrade Dataset: Towards Automatic Raspberry Ripeness Grading with Deep Learning
|
41 |
This research investigates the application of computer vision for rapid, accurate, and non-invasive food quality assessment, focusing on the novel challenge of real-time raspberry grading into five distinct classes within an industrial environment as the fruits move along a conveyor belt.
|