Udacity Self Driving Car Dataset fixed-small

Export Created

5 years ago

2020-02-11 7:48am

Export Size

15000 images

Annotations

obstacles

Available Download Formats

COCO JSON
COCO-MMDetection
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
PaliGemma JSONL
PaliGemma format is used with Google's Multimodal Vision Model.
Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
YOLO Darknet TXT
Darknet TXT annotations used with YOLO Darknet (both v3 and v4) and YOLOv3 PyTorch.
YOLO v3 Keras TXT
YOLO v4 PyTorch
Darknet TXT annotations used with YOLOv4 PyTorch (deprecated).
Scaled-YOLOv4
YOLOv5-OBB
MT-YOLOv6
YOLO v5 PyTorch
YOLO v7 PyTorch
YOLOv8
YOLOv8-OBB
YOLOv9
YOLOv11
Tensorflow Object Detection CSV
CSV format used with Tensorflow (usually converted before training so you probably want to export as a TFRecord instead unless you need to inspect the human-readable CSV).
RetinaNet Keras CSV
A custom CSV format used by Keras implementation of RetinaNet.
Multiclass Classification
Converts your object detection dataset into a classification dataset CSV.
OpenAI CLIP Classification
Converts your object detection dataset a classification dataset for use with OpenAI CLIP.
Tensorflow TFRecord

Preview

Train/Test Split

Your images are split at upload time. Learn more.

Preprocessing Options

Applied to all images in dataset

Auto-Orient

Resize

Stretch to 512x512

Preprocessing can decrease training time and increase inference speed. Learn more on our blog.

Augmentation Options

Randomly applied to images in your training set

No augmentation steps were applied.

Augmentations create new training examples for your model to learn from. Learn more on our blog.