Update README.md
Browse files
README.md
CHANGED
|
@@ -14,22 +14,6 @@ datasets:
|
|
| 14 |
- enalis/LeafNet
|
| 15 |
library_name: transformers
|
| 16 |
---
|
| 17 |
-
---
|
| 18 |
-
license: mit
|
| 19 |
-
tags:
|
| 20 |
-
- vision-language
|
| 21 |
-
- image-encoder
|
| 22 |
-
- text-encoder
|
| 23 |
-
- multimodal
|
| 24 |
-
- contrastive-learning
|
| 25 |
-
- explainable-ai
|
| 26 |
-
- few-shot-learning
|
| 27 |
-
- agriculture
|
| 28 |
-
library_name: transformers
|
| 29 |
-
datasets:
|
| 30 |
-
- your-dataset-name
|
| 31 |
-
pipeline_tag: feature-extraction
|
| 32 |
-
---
|
| 33 |
|
| 34 |
# 🌿 SCOLD: A Vision-Language Foundation Model for Leaf Disease Identification
|
| 35 |
|
|
@@ -59,12 +43,6 @@ The final embeddings from image and text encoders are aligned using cosine simil
|
|
| 59 |
- Vision-language embedding for classification or retrieval tasks
|
| 60 |
- Few-shot learning in agricultural or medical datasets
|
| 61 |
- Multimodal interpretability or zero-shot transfer
|
| 62 |
-
|
| 63 |
-
### ❌ Limitations
|
| 64 |
-
- Not optimized for real-time inference
|
| 65 |
-
- Trained on LeafNet dataset
|
| 66 |
-
- May not generalize well to non-agricultural tasks without fine-tuning
|
| 67 |
-
|
| 68 |
---
|
| 69 |
|
| 70 |
## 🧪 How to Use
|
|
|
|
| 14 |
- enalis/LeafNet
|
| 15 |
library_name: transformers
|
| 16 |
---
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 17 |
|
| 18 |
# 🌿 SCOLD: A Vision-Language Foundation Model for Leaf Disease Identification
|
| 19 |
|
|
|
|
| 43 |
- Vision-language embedding for classification or retrieval tasks
|
| 44 |
- Few-shot learning in agricultural or medical datasets
|
| 45 |
- Multimodal interpretability or zero-shot transfer
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 46 |
---
|
| 47 |
|
| 48 |
## 🧪 How to Use
|