Convert annotation formats

How To Convert YOLO Darknet TXT to Multiclass Classification CSV

In this guide, we show you how to convert data between the YOLO Darknet and Multiclass Classification formats for free. You can use your converted data to train models and other models that support the Multiclass Classification format.

Convert with an AI agent

Paste this prompt into your coding agent

Claude Code, Cursor, Codex or any agent with the Roboflow MCP uploads your YOLO Darknet TXT dataset to Roboflow, generates a version and downloads it as Multiclass Classification CSV.

No Roboflow MCP yet? The prompt has your agent set it up first, or connect your agent before you paste it.

Rather convert it by hand? Follow the steps below

YOLO Darknet TXT

The favored annotation format of the Darknet family of models.

Below, learn the structure of YOLO Darknet TXT.

Each image has one txt file with a single line for each bounding box. The format of each row is:

class_id center_x center_y width height
img0001.txt
1 0.408 0.30266666666666664 0.104 0.15733333333333333
1 0.245 0.424 0.046 0.08
darknet.labels
head
helmet
person

Multiclass Classification CSV

Transforms an object detection problem into a classification problem.

Below, learn the structure of Multiclass Classification CSV.

classes.csv
filename, head, helmet, person
000001.jpg, 0, 1, 0
000007.jpg, 0, 1, 0
000012.jpg, 0, 1, 0
000013.jpg, 0, 1, 0
000014.jpg, 0, 1, 0
000016.jpg, 0, 1, 0
000017.jpg, 0, 1, 0
000018.jpg, 0, 1, 0
000019.jpg, 1, 0, 0

Step 1: Create a free Roboflow account

Roboflow is a universal conversion tool for computer vision annotation formats. To convert your dataset, start by creating a free Roboflow account.

Create free Roboflow account

Step 2: Upload your data into Roboflow

Once your account has been created, click Create New Project. (opens in a new tab)

Roboflow's create project form, with Object Detection selected as the project type

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

Roboflow's upload page, with a drag-and-drop area for images, annotations, videos and PDFs

Step 3: Generate Dataset Version

Next, click "Generate New Version" to generate a new version of your dataset:

Roboflow's Generate a Dataset Version page, showing the source images and train/test split for a new version

You can then apply any preprocessing or augmentation steps to your dataset:

The augmentation step of a new dataset version, with 90° Rotate and Brightness added

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. Choose Multiclass Classification CSV when asked in what format you want to export your data. You will see a dropdown with various options like this:

Roboflow's Download dialog, with the export format list open and COCO highlighted

Congratulations, you have successfully converted your dataset from YOLO Darknet TXT format to Multiclass Classification CSV format!

Video Tutorial

Convert Computer Vision Annotation Formats Tutorial

Want to dive deeper into converting annotation formats with Roboflow? In the tutorial below, we explore how to convert your data in the Roboflow dashboard. We also discuss rejecting annotations and train-test-validation splits.

Frequently Asked Questions

Yes! It is free to convert YOLO Darknet TXT data into the Multiclass Classification CSV format on the Roboflow platform.

If you have between a few and a few thousand images, converting data between these formats will be quick. But, the time it takes to convert between data formats increases with the more images you have.

Show guide

Convert YOLO Darknet TXT to other formats

Convert other formats to Multiclass Classification CSV

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