basline model info added

README.md

@@ -126,6 +126,7 @@ A separate CSV is provided for each crop covering all plants, days, levels, and
 
 ## Tasks
 
+The dataset is part of a challenge organised by [ANNAM.AI](http://data.annam.ai/gromo25/).
 This dataset supports the following tasks:
 
 - **Plant Age Estimation** — Predict the number of days since planting (regression)
@@ -140,6 +141,26 @@ This dataset supports the following tasks:
 
 ---
 
+## Baseline Model and Train/Test Scripts
+
+This repository provides baseline model weights and network architecture to help users get started quickly.
+
+### Baseline Model Weights
+
+The pretrained baseline models follow the naming convention below:
+
+- `{crop}_mvvit_age_prediction.pth` — model for plant age prediction
+- `{crop}_mvvit_leaf_count.pth` — model for leaf count estimation
+
+where `{crop}` refers to the crop name (e.g., `wheat`, `okra`, `radish`, `mustard`).
+
+### Usage
+
+- Use `train.py` for training the model on your data.
+- Use `test.py` for evaluating the model on the test set.
+
+---
+
 ## Citation
 
 If you use this dataset in your research, please cite:
@@ -189,7 +210,4 @@ This dataset is released under the [Creative Commons Attribution 4.0 Internation
 
 You are free to use, share, and adapt this dataset for any purpose, including commercial use, as long as appropriate credit is given to the authors.
 
----
 
-## Note
-The dataset is part of a challenge organised by [ANNAM.AI](http://data.annam.ai/gromo25/)