Is it free to convert Pascal VOC XML to Tensorflow Object Detection CSV?
Yes! It is free to convert Pascal VOC XML data into the Tensorflow Object Detection CSV format on the Roboflow platform.
Convert annotation formats
How To Convert Pascal VOC XML to Tensorflow Object Detection CSV
In this guide, we show you how to convert data between the VOC and Tensorflow CSV formats for free. You can use your converted data to train models and other models that support the Tensorflow CSV format.
Pascal VOC XMLtoTensorflow Object Detection CSV
Pascal VOC XML
Pascal VOC is a common XML annotation format that is human readable but doesn't work with any known object detection models.
Below, learn the structure of Pascal VOC XML.
img0001.xml
<annotation>
<folder></folder>
<filename>000001.jpg</filename>
<path>000001.jpg</path>
<source>
<database>roboflow.ai</database>
</source>
<size>
<width>500</width>
<height>375</height>
<depth>3</depth>
</size>
<segmented>0</segmented>
<object>
<name>helmet</name>
<pose>Unspecified</pose>
<truncated>0</truncated>
<difficult>0</difficult>
<occluded>0</occluded>
<bndbox>
<xmin>179</xmin>
<xmax>231</xmax>
<ymin>85</ymin>
<ymax>144</ymax>
</bndbox>
</object>
<object>
<name>helmet</name>
<pose>Unspecified</pose>
<truncated>0</truncated>
<difficult>0</difficult>
<occluded>0</occluded>
<bndbox>
<xmin>112</xmin>
<xmax>135</xmax>
<ymin>145</ymin>
<ymax>175</ymax>
</bndbox>
</object>
</annotation>Tensorflow Object Detection CSV
The intermediate human-readable format prior to creating a TFRecord.
Below, learn the structure of Tensorflow Object Detection CSV.
tensorflow.csv
filename,width,height,class,xmin,ymin,xmax,ymax
000001.jpg,500,375,helmet,111,144,134,174
000001.jpg,500,375,helmet,178,84,230,143
000007.jpg,500,466,helmet,115,139,180,230
000007.jpg,500,466,helmet,174,156,201,219
000007.jpg,500,466,helmet,197,177,231,227
000007.jpg,500,466,helmet,247,124,294,203
000007.jpg,500,466,helmet,280,127,337,208
000007.jpg,500,466,helmet,336,148,387,223
000007.jpg,500,466,helmet,375,152,410,219Step 1: Create a free Roboflow public workspace
Roboflow is a universal conversion tool for computer vision annotation formats. The Public plan is the best way for those exploring personal projects, class assignments, and other experiments to try Roboflow. To convert your dataset, start by creating a free workspace on the Public plan.
Step 2: Upload your data into Roboflow
Once your account has been created, click Create New Project.
Upload your data to Roboflow by dragging and dropping your Pascal VOC XML images and annotations into the upload space.
Step 3: Generate Dataset Version
Next, click "Generate New Version" to generate a new version of your dataset:
You can then apply any preprocessing or augmentation steps to your dataset:
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 Tensorflow Object Detection CSV when asked in what format you want to export your data. You will see a dropdown with various options like this:
Congratulations, you have successfully converted your dataset from Pascal VOC XML format to Tensorflow Object Detection 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 Pascal VOC XML data into the Tensorflow Object Detection 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.
Convert Pascal VOC XML to other formats
- COCO JSON
- COCO Run-Length Encoding (RLE)
- CreateML JSON
- Florence-2
- Google Cloud AutoML Vision CSV
- meituan/yolov6
- Multiclass Classification CSV
- OpenAI CLIP Classification
- OpenAI GPT-4o Object Detection JSONL
- PaliGemma JSONL
- RetinaNet Keras CSV
- RF-DETR
- Sagemaker GroundTruth Manifest
- Scaled-YOLOv4 TXT
- Segment Anything 2
- Tensorflow TFRecord
- YOLO Darknet TXT
- YOLO Keras TXT
- YOLOv10 PyTorch TXT
- YOLOv11 PyTorch TXT
- YOLOv12 PyTorch TXT
- YOLOv4 PyTorch TXT
- YOLOv5 Oriented Bounding Boxes
- YOLOv5 PyTorch TXT
- YOLOv7 PyTorch TXT
- YOLOv8 Oriented Bounding Boxes
- YOLOv8 PyTorch TXT
- YOLOv9 PyTorch TXT
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