Packages Dataset augmented-v1

Export Created

22 days ago

2020-11-13 5:24pm

Export Size

250 images

Annotations

packages

Available Download Formats

COCO JSON
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
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).
YOLO v5 PyTorch
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.
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 416x416

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

Augmentation Output

Save

For each image in your training set, how many augmented versions do you want to generate?

(Max: 50)

Size: 250 images.

Augmentation Options

Randomly applied to images in your training set

Flip

Horizontal

Crop

0% Minimum Zoom, 20% Maximum Zoom

Rotation

Between -5° and +5°

Brightness

Between -30% and +30%

Blur

Up to 0.5px

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