Updated training file

train.py

@@ -16,6 +16,10 @@ import os
 from pathlib import Path
 from ultralytics import YOLO
 
+
+DATASET_NAME = "veridis"
+
+
 def count_images(directory):
     """Count the number of JPG image files in a directory.
 
@@ -36,23 +40,22 @@ def count_images(directory):
     return count
 
 
-def find_dataset_yaml(current_dir):
-    """Find data.yml file in dataset directories.
+def find_dataset_yaml(current_dir, dataset_name):
+    """Find data.yml file in a specific dataset directory.
 
     Args:
         current_dir: Current directory to search from.
+        dataset_name: Specific dataset name to use.
 
     Returns:
         Path to the data.yml file or None if not found.
     """
-    datasets = ["veridis", "beet_augmented", "beet", "corn_augmented", "corn"]
+    dataset_path = current_dir / dataset_name
+    yaml_path = dataset_path / "data.yml"
     
-    for dataset_name in datasets:
-        dataset_path = current_dir / dataset_name
-        yaml_path = dataset_path / "data.yml"
-        if yaml_path.exists():
-            print(f"Found dataset: {dataset_name}")
-            return str(yaml_path), dataset_path
+    if yaml_path.exists():
+        print(f"Found dataset: {dataset_name}")
+        return str(yaml_path), dataset_path
     
     return None, None
 
@@ -66,10 +69,12 @@ def main():
     current_dir = Path(__file__).parent
     os.chdir(current_dir)
     
-    yaml_path, dataset_root = find_dataset_yaml(current_dir)
+    print(f"Training dataset: {DATASET_NAME}")
+    yaml_path, dataset_root = find_dataset_yaml(current_dir, DATASET_NAME)
     
     if yaml_path is None:
-        print("ERROR: No dataset with data.yml found")
+        print(f"ERROR: Dataset '{DATASET_NAME}' not found or missing data.yml")
+        print("\nAvailable datasets: veridis, beet_augmented, beet, corn_augmented, corn")
         return
     
     train_images = count_images(dataset_root / "train" / "images")