Formats

How To Convert YOLO Darknet TXT to Multiclass Classification CSV

If your labeling tool exported annotations in the

YOLO Darknet

format, but you’re trying to use a

model that needs

Multiclass Classification

annotations, we’ve got you covered. You can convert those in 3 clicks with Roboflow.

Step 1: Create a Free Roboflow Account

Roboflow is the universal conversion tool for computer vision annotation formats. It's completely free for your first 1,000 images. You'll need an account to convert your dataset.

Step 2: Upload your data into Roboflow

Once your account has been created, click Create Dataset.

Upload your data to Roboflow by dragging and dropping your
YOLO Darknet TXT
images and annotations into the upload space.
Upload Data To Roboflow

You might be looking to use YOLOv4 on your own dataset.

Step 3: Generate Dataset Version

Next, you can choose Preprocessing and Augmentation options for your dataset version and then click Generate.

Step 4: Export Dataset Version

After generating, you will be prompted to Export your dataset. You can choose to receive your dataset as a .zip file or a curl download link. You can also choose which format you would like to export. Choose

Multiclass Classification CSV

.

Congratulations, you have successfully converted your dataset from

YOLO Darknet TXT

format to

Multiclass Classification CSV

format!

Next Steps

Ready to use your new

Multiclass Classification

dataset?

Here are some compatible models:

Try an end-to-end computer vision tutorial, check out your dataset health check or experiment with some augmentations.