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Data operations

Transform data and annotations, perform augmentations, filtering and querying…

43 results found



ImgAug Studio

Visualize and build augmentation pipeline with ImgAug


Merge datasets

Merge selected datasets with images or videos into a single one


Videos project to images project

Creates images project from video project


Convert Class Shape

Converts shapes of classes (e.g. polygon to bitmap) and all corresponding objects


Extract frames from videos

Read every n-th frame and save to images project


Assign train/val tags to images

Assigns tags (train/val) to images. Training apps will use these tags to split data.


Synthetic retail products

Generate synthetic data for classification of retail products on grocery shelves


Create Trainset for SmartTool

Prepare training data for SmartTool


Merge classes

Merge multiple classes with same shape to a single one


Copy image tags to objects

Tags and object classes can be customized


Create foreground mask

Create foreground mask from alpha channel of image


Sliding window merge

Merge images and labels that were split by sliding window before


Filter images

Filters images and provides results in selected format


Flying objects

Generate synthetic data: flying foregrounds on top of backgrounds


Render video to compare projects

Put images with labels into collage and renders comparison videos


Diff and Merge Project Meta

Visual diff and merge tool helps compare project tags and classes


Sliding window split

Configure, preview and split images and annotations with sliding window


Perspective transform using QR code

This app perspective transforms and warps your images using qr code in them.


Diff and Merge Images Projects

Visual diff and merge tool helps compare images in two projects


Tags to image URLs

Saves tag to images mapping to a json file


Images project to videos project

Creates video project from images project


Unpack AnyShape Classes

Split "AnyShape" classes to classes with strictly defined shapes (polygon, bitmap, ...)


Resize images

for both images and their annotations


Rasterize objects on images

Convert classes to bitmap and rasterize objects without intersections


Crop objects on images

Creates new project with cropped objects


Slice volume

Slice volumes to 2d images


Rotate images

Rotates images along with the annotations in the dataset


Group nested objects

Binds nested objects into groups


Tags to object classes

Create new object classes from tags associated with objects


Object tags editor

Edit tags of each object on image


Render video from images

Creates video from images in dataset with selected frame rate and configurable label opacity


Unpack key value tags

Rename "Key:Value" tags to key_value (fruit: lemon -> fruit_lemon)


Object classes to tags

Convert each class name to tag associated with objects, and merge existing classes into single one



Open metrics in tensorboard


Convert to semantic segmentation

Convert polygon and bitmap labels to semantic segmentation


Split datasets

Split one or multiple datasets into parts


Tag images by dataset name

Add dataset name tag to all images in project or dataset


Convert labels to rotated bboxes

Convert all labels in the project or dataset to rotated bounding boxes