Datasets:
Update README.md
Browse files
README.md
CHANGED
|
@@ -1,3 +1,15 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
|
| 2 |
# RiceNet Dataset: High-Quality Image Dataset for Rice Variety Classification
|
| 3 |
|
|
@@ -33,9 +45,9 @@ The RiceNet model, trained on this dataset, achieved a classification accuracy o
|
|
| 33 |
|
| 34 |
* **HOG-LR**: 62.67%
|
| 35 |
|
| 36 |
-
* **SIFT-LR**: 65.0%
|
| 37 |
|
| 38 |
-
* **HOG-KNN**: 54.0%
|
| 39 |
|
| 40 |
* **SIFT-KNN**: 52.0%
|
| 41 |
|
|
@@ -59,6 +71,11 @@ Volume 235,
|
|
| 59 |
ISSN 0957-4174,
|
| 60 |
https://doi.org/10.1016/j.eswa.2023.121214.
|
| 61 |
```
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 62 |
## License
|
| 63 |
|
| 64 |
This dataset is available for public use under the [Creative Commons Attribution 4.0 International License].
|
|
@@ -69,7 +86,6 @@ For questions or collaborations, please contact Rayees Ahmad Dar at darrayes@gma
|
|
| 69 |
|
| 70 |
---
|
| 71 |
|
| 72 |
-
This README provides a comprehensive overview of the RiceNet Dataset, facilitating its use in various applications related to rice variety classification.
|
| 73 |
|
| 74 |
[1]: https://www.researchgate.net/publication/373222937_RiceNet_A_deep_convolutional_neural_network_approach_for_classification_of_rice_varieties?utm_source=chatgpt.com "RiceNet: A deep convolutional neural network approach for classification of rice varieties | Request PDF"
|
| 75 |
-
[2]: https://discovery.researcher.life/article/ricenet-a-deep-convolutional-neural-network-approach-for-classification-of-rice-varieties/b2cabc927db33d348ba3c79f0b609dbe?utm_source=chatgpt.com "RiceNet: A deep convolutional neural network approach for classification of rice varieties - R Discovery"
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: cc-by-4.0
|
| 3 |
+
task_categories:
|
| 4 |
+
- image-classification
|
| 5 |
+
tags:
|
| 6 |
+
- Rice,
|
| 7 |
+
- imageclassification,
|
| 8 |
+
- cnn
|
| 9 |
+
pretty_name: RiceNet
|
| 10 |
+
size_categories:
|
| 11 |
+
- 1K<n<10K
|
| 12 |
+
---
|
| 13 |
|
| 14 |
# RiceNet Dataset: High-Quality Image Dataset for Rice Variety Classification
|
| 15 |
|
|
|
|
| 45 |
|
| 46 |
* **HOG-LR**: 62.67%
|
| 47 |
|
| 48 |
+
* **SIFT-LR**: 65.0%
|
| 49 |
|
| 50 |
+
* **HOG-KNN**: 54.0%
|
| 51 |
|
| 52 |
* **SIFT-KNN**: 52.0%
|
| 53 |
|
|
|
|
| 71 |
ISSN 0957-4174,
|
| 72 |
https://doi.org/10.1016/j.eswa.2023.121214.
|
| 73 |
```
|
| 74 |
+
|
| 75 |
+
## Link to Paper
|
| 76 |
+
https://doi.org/10.1016/j.eswa.2023.121214
|
| 77 |
+
|
| 78 |
+
|
| 79 |
## License
|
| 80 |
|
| 81 |
This dataset is available for public use under the [Creative Commons Attribution 4.0 International License].
|
|
|
|
| 86 |
|
| 87 |
---
|
| 88 |
|
|
|
|
| 89 |
|
| 90 |
[1]: https://www.researchgate.net/publication/373222937_RiceNet_A_deep_convolutional_neural_network_approach_for_classification_of_rice_varieties?utm_source=chatgpt.com "RiceNet: A deep convolutional neural network approach for classification of rice varieties | Request PDF"
|
| 91 |
+
[2]: https://discovery.researcher.life/article/ricenet-a-deep-convolutional-neural-network-approach-for-classification-of-rice-varieties/b2cabc927db33d348ba3c79f0b609dbe?utm_source=chatgpt.com "RiceNet: A deep convolutional neural network approach for classification of rice varieties - R Discovery"
|