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YOLO Darknet TXT
YOLO Darknet TXT

This format contains one text file per image (containing the annotations and a numeric representation of the label) and a labelmap which maps the numeric IDs to human readable strings. The annotations are normalized to lie within the range [0, 1] which makes them easier to work with even after scaling or stretching images. It has become quite popular as it has followed the Darknet framework's implementations of the various YOLO models.

Roboflow can read and write YOLO Darknet files so you can easily convert them to or from any other object detection annotation format. Once you're ready, use your converted annotations with our training YOLO v4 with a custom dataset tutorial.

YOLO Darknet TXT

CONVERT To
CONVERT From
MODELS
EXAMPLE
Use Roboflow to convert
YOLO Darknet TXT
to the following formats.
YOLO Darknet TXT
 to 
Tensorflow TFRecord
YOLO Darknet TXT
 to 
COCO JSON
YOLO Darknet TXT
 to 
Pascal VOC XML
YOLO Darknet TXT
 to 
CreateML JSON
YOLO Darknet TXT
 to 
YOLOv7 PyTorch TXT
YOLO Darknet TXT
 to 
YOLOv5 PyTorch TXT
YOLO Darknet TXT
 to 
Google Cloud AutoML Vision CSV
YOLO Darknet TXT
 to 
Sagemaker GroundTruth Manifest
YOLO Darknet TXT
 to 
meituan/yolov6
YOLO Darknet TXT
 to 
Scaled-YOLOv4 TXT
YOLO Darknet TXT
 to 
YOLO Keras TXT
YOLO Darknet TXT
 to 
OpenAI CLIP Classification
YOLO Darknet TXT
 to 
RetinaNet Keras CSV
YOLO Darknet TXT
 to 
Tensorflow Object Detection CSV
YOLO Darknet TXT
 to 
Multiclass Classification CSV
YOLO Darknet TXT
 to 
YOLOv4 PyTorch TXT
YOLO Darknet TXT
 to 
YOLOv5 Oriented Bounding Boxes
Use Roboflow to convert the following formats to
YOLO Darknet TXT
format.
COCO JSON
to
YOLO Darknet TXT
Pascal VOC XML
to
YOLO Darknet TXT
CreateML JSON
to
YOLO Darknet TXT
Sagemaker GroundTruth Manifest
to
YOLO Darknet TXT
SuperAnnotate JSON
to
YOLO Darknet TXT
LabelMe JSON
to
YOLO Darknet TXT
Google Cloud AutoML Vision CSV
to
YOLO Darknet TXT
LabelBox JSON
to
YOLO Darknet TXT
Supervisely JSON
to
YOLO Darknet TXT
Scale AI JSON
to
YOLO Darknet TXT
VGG Image Annotator JSON
to
YOLO Darknet TXT
VGG Image Annotator CSV
to
YOLO Darknet TXT
VoTT CSV
to
YOLO Darknet TXT
VoTT JSON
to
YOLO Darknet TXT
LabelBox Video JSON
to
YOLO Darknet TXT
IBM Cloud Annotations JSON
to
YOLO Darknet TXT
Unity Perception JSON
to
YOLO Darknet TXT
OIDv4 TXT
to
YOLO Darknet TXT
YOLO Keras TXT
to
YOLO Darknet TXT
RetinaNet Keras CSV
to
YOLO Darknet TXT
OpenImages CSV
to
YOLO Darknet TXT
Tensorflow Object Detection CSV
to
YOLO Darknet TXT
Multiclass Classification CSV
to
YOLO Darknet TXT
Marmot XML
to
YOLO Darknet TXT
Udacity TXT
to
YOLO Darknet TXT
Kaggle Wheat CSV
to
YOLO Darknet TXT
Here are pre-configured models that use
YOLO Darknet TXT
. Once your data is in Roboflow, just add the link from your dataset and you're ready to go. We even include the code to export to common inference formats like TFLite, ONNX, and CoreML.
YOLOv3 PyTorch

Though it is no longer the most accurate object detection algorithm, YOLO v3 is still a very good choice when you need real-time detection while maintaining excellent accuracy. PyTorch version.

YOLOv4 Darknet

YOLOv4 has emerged as the best real time object detection model. YOLOv4 carries forward many of the research contributions of the YOLO family of models along with new modeling and data augmentation techniques. This implementation is in Darknet.

YOLOv4 Tiny

The tiny and fast version of YOLOv4 - good for training and deployment on limited compute resources, and getting a feel for your dataset

To see our entire list of computer vision models, check out the Roboflow Model Library.
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