Roboflow + LabelImg
Upload the Pascal VOC XML or YOLO files LabelImg saves to Roboflow, then train and deploy a model on your labels.
How to connect LabelImg to Roboflow
4 stepsSave labels as Pascal VOC XML
In LabelImg, set the save format to Pascal VOC and save each image after drawing boxes. LabelImg writes an XML file next to each image.
Create an object detection project
In Roboflow, create a new object detection project.
Upload the folder
Drag the folder with your images and XML files onto the upload page. Roboflow pairs each image with its annotation file.
Generate a version and train
Generate a dataset version, then train a model such as RF-DETR without a local GPU.
What teams build with LabelImg
Train on an old LabelImg dataset
Upload a folder of VOC XML labels you made years ago and train a current model on it.
Move a growing project off the desktop
Import LabelImg labels and continue in Roboflow Annotate so several people can label the same dataset.
Questions
Pascal VOC XML is a safe default because each file carries the class names. Roboflow also reads LabelImg's YOLO and CreateML output.
No. The repository is archived and the maintainers point to Label Studio. Your existing LabelImg files still import into Roboflow.
No, LabelImg has no model integration. Roboflow Annotate offers Label Assist for model-assisted labeling.
Why are companies choosing Roboflow?
The end-to-end platform for vision AI: create datasets, train models and deploy to production.
Flexible deployment modes
Move from a scalable cloud API to edge hardware like NVIDIA Jetson without managing complex dependencies.
Integrated workflow builder
Combine multiple AI models, custom business logic and third-party integrations into one production-ready pipeline in a low-code editor.
Model monitoring and alerts
Dashboards track confidence, inference time and request volume for your deployed models, and email alerts tell your team when confidence suddenly drops.
