Update README.md

README.md

@@ -11,6 +11,10 @@ tags:
 - object-detection
 - YOLO
 - fine-tuned
+- zebra
+- giraffe
+- onager
+- dog
 datasets:
 - custom_animal_dataset
 metrics:
@@ -30,7 +34,8 @@ model_description: >-
 
 # Model Card for Fine-Tuned YOLOv11m Animal Detection Model
 
-This model is a fine-tuned version of YOLOv11m optimized for detection and classification of wildlife from low-altitude drone imagery. It has been trained to identify zebras (Plains and Grevy's), giraffes (reticulated and Masai), Persian onagers, and African Painted dogs with high accuracy across diverse environmental conditions.
+This model is a fine-tuned version of [YOLO11m](https://docs.ultralytics.com/models/yolo11/) optimized for detection and classification of wildlife from low-altitude drone imagery. 
+It has been trained to identify zebras (Plains and Grevy's), giraffes (reticulated and Masai), Persian onagers, and African Painted dogs with high accuracy across diverse environmental conditions.
 
 ## Model Details
 
@@ -183,7 +188,7 @@ results = model.train(
 
 #### Testing Data
 
-The model was evaluated on a held-out test set located at `/fs/ess/PAS2136/Kenya-2023/yolo_benchmark/HerdYOLO/data/images/test` containing:
+The model was evaluated on a held-out test set located at `images/test` containing:
 - 7658 test images with instances of Zebra, Giraffe, Onager, and Dog