Udacity TXT
The format used by the Udacity Self Driving Car dataset.
Overview
When Udacity set out to create an open source self driving car, they released an open dataset to help researchers. Unfortunately, that dataset had problems (but Roboflow fixed them and released an updated dataset).
If you'd like to train a model with the original annotation files, you'll need to convert them to a format that your model expects. Roboflow will do that for you.
Format Description
Below, learn the structure of Udacity TXT.
udacity.txt
1478019952686311006.jpg 950 574 1004 620 0 "car"
1478019952686311006.jpg 1748 482 1818 744 0 "pedestrian"
1478019953180167674.jpg 872 586 926 632 0 "car"
1478019953689774621.jpg 686 566 728 618 1 "truck"
1478019953689774621.jpg 716 578 764 622 0 "car"
1478019953689774621.jpg 826 580 880 626 0 "car"
1478019953689774621.jpg 1540 488 1680 608 1 "car"
1478019953689774621.jpg 1646 498 1848 594 1 "car"
1478019954186238236.jpg 662 562 710 616 1 "truck"
1478019954186238236.jpg 686 576 730 628 0 "car"Convert Data from Udacity TXT
- 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
- Pascal VOC XML
- RetinaNet Keras CSV
- Sagemaker GroundTruth Manifest
- Scaled-YOLOv4 TXT
- Tensorflow Object Detection CSV
- Tensorflow TFRecord
- YOLO Darknet TXT
- YOLO Keras TXT
- YOLOv10 PyTorch TXT
- YOLOv11 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