update readme

README.md

@@ -1,3 +1,29 @@
----
-license: mit
----
+---
+license: mit
+---
+## Model Training
+
+### Training Details
+
+The YOLOv8l model was fine-tuned on a **cloud A100 GPU** (NVIDIA A100-SXM4-40GB) using approximately **12,000 images** from the Augmented Startups Playing Cards dataset.
+
+#### Training Configuration:
+- **Model**: YOLOv8l (YOLO v8 Large)
+- **Dataset**: Augmented Startups Playing Cards (Roboflow Universe)
+  - Dataset URL: https://universe.roboflow.com/augmented-startups/playing-cards-ow27d/dataset/4
+- **Training Images**: ~12,000 images
+- **Classes**: 52 (one for each playing card)
+- **Epochs**: 50
+- **Image Size**: 640x640
+- **Batch Size**: 16
+- **Hardware**: NVIDIA A100-SXM4-40GB GPU
+- **Framework**: Ultralytics YOLOv8
+
+#### Training Process:
+
+The training was performed using the Ultralytics YOLOv8 framework. The process involved:
+
+1. **Dataset Preparation**: Downloaded the Augmented Startups Playing Cards dataset from Roboflow in YOLOv8 format
+2. **Model Initialization**: Started with pre-trained YOLOv8l weights (`yolov8l.pt`)
+3. **Fine-tuning**: Trained for 50 epochs on the playing cards dataset
+4. **Model Export**: Saved the fine-tuned model as `playing-cards.pt`