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Formats
Udacity TXT
Convert to
RetinaNet Keras CSV
Udacity TXT
The format used by the Udacity Self Driving Car dataset.
RetinaNet Keras CSV
A custom format used by the Keras implementation of RetinaNet.

How To Convert Udacity TXT to RetinaNet Keras CSV

If your labeling tool exported annotations in the

Udacity

format, but you’re trying to use a

model that needs

RetinaNet Keras

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

Step 1: Create a Free Roboflow Public Workspace

Roboflow is the 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 workspace on the Public plan.

Create Roboflow Workspace

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
Udacity TXT
images and annotations into the upload space.
Upload Data To Roboflow

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

RetinaNet Keras CSV

.

Congratulations, you have successfully converted your dataset from

Udacity TXT

format to

RetinaNet Keras CSV

format!

Next Steps

Ready to use your new

RetinaNet Keras

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.