--- a/README.md
+++ b/README.md
@@ -1,62 +1,62 @@
-# Blood Cancer Detection with YOLOV5
-
-# Intrudiction
-
-This notes that I took for target detection with yolov5. In this project, blood cancer cells were detected.
-
-<img src="https://github.com/safakgunes/Blood-Cancer-Detection-YOLOV5/blob/main/yolov5/runs/train/exp/val_batch1_pred.jpg?raw=true" alt="prediction" width="600"/>
-
-## Create an environment
-
-* Update pip with the following command.
-```bash
-$ python -m pip install --upgrade pip
-```
-* Create an enviroment.
-```bash 
-$ conda create --name yolov5 
-```
-* Activate this environment
-```bash
-$ conda activate yolov5
-```
-## Requirements
-
-* Open the yolov5 directory
-```bash
-$ cd <yolov5_dir>
-```
-* Setup requirements
-```bash
- $ pip install -r requirements.txt
-```
-* Make sure you have cuda and cudnn installs
-
-## Train
-
-* Make sure environment activated. Go to yolov5 directory.
-```bash
-$ cd <yolov5_dir>
-```
-
-* Run commands below
-```bash
-% python train.py --img 416 --data ../data.yaml --cfg ./models/yolov5s.yaml  --batch 32 --epochs 50
-```
-* You can see the training results and  weights, enter the directory below in the yolov5 folder.
-
-```bash
-$ cd <yolov5_dir>/runs/train
-```
-## Detect
-
-* Run commands below
-
-```bash
-$ python detect.py --source ../dataset/test/images/ --weights ./runs/train/exp/weights/best.pt --conf 0.4
-```                                 
-*  You can see the detection results, enter the directory below in the yolov5 folder.     
-
-```bash
-$ cd <yolov5_dir>/runs/detect
-```
+# Blood Cancer Detection with YOLOV5
+
+# Intrudiction
+
+This notes that I took for target detection with yolov5. In this project, blood cancer cells were detected.
+
+<img src="https://github.com/safakgunes/Blood-Cancer-Detection-YOLOV5/blob/main/yolov5/runs/train/exp/val_batch1_pred.jpg?raw=true" alt="prediction" width="600"/>
+
+## Create an environment
+
+* Update pip with the following command.
+```bash
+$ python -m pip install --upgrade pip
+```
+* Create an enviroment.
+```bash 
+$ conda create --name yolov5 
+```
+* Activate this environment
+```bash
+$ conda activate yolov5
+```
+## Requirements
+
+* Open the yolov5 directory
+```bash
+$ cd <yolov5_dir>
+```
+* Setup requirements
+```bash
+ $ pip install -r requirements.txt
+```
+* Make sure you have cuda and cudnn installs
+
+## Train
+
+* Make sure environment activated. Go to yolov5 directory.
+```bash
+$ cd <yolov5_dir>
+```
+
+* Run commands below
+```bash
+% python train.py --img 416 --data ../data.yaml --cfg ./models/yolov5s.yaml  --batch 32 --epochs 50
+```
+* You can see the training results and  weights, enter the directory below in the yolov5 folder.
+
+```bash
+$ cd <yolov5_dir>/runs/train
+```
+## Detect
+
+* Run commands below
+
+```bash
+$ python detect.py --source ../dataset/test/images/ --weights ./runs/train/exp/weights/best.pt --conf 0.4
+```                                 
+*  You can see the detection results, enter the directory below in the yolov5 folder.     
+
+```bash
+$ cd <yolov5_dir>/runs/detect
+```