ImgAug Studio
Visualize and build augmentation pipeline with ImgAug
Transform data and annotations, perform augmentations, filtering and querying…
Visualize and build augmentation pipeline with ImgAug
Merge selected datasets with images or videos into a single one
Creates images project from video project
Converts shapes of classes (e.g. polygon to bitmap) and all corresponding objects
Read every n-th frame and save to images project
Assigns tags (train/val) to images. Training apps will use these tags to split data.
Generate synthetic data for classification of retail products on grocery shelves
Prepare training data for SmartTool
Merge multiple classes with same shape to a single one
Tags and object classes can be customized
Create foreground mask from alpha channel of image
Merge images and labels that were split by sliding window before
Filters images and provides results in selected format
Generate synthetic data: flying foregrounds on top of backgrounds
Put images with labels into collage and renders comparison videos
Visual diff and merge tool helps compare project tags and classes
Configure, preview and split images and annotations with sliding window
This app perspective transforms and warps your images using qr code in them.
Visual diff and merge tool helps compare images in two projects
Saves tag to images mapping to a json file
Creates video project from images project
Split "AnyShape" classes to classes with strictly defined shapes (polygon, bitmap, ...)
for both images and their annotations
Convert classes to bitmap and rasterize objects without intersections
Creates new project with cropped objects
Slice volumes to 2d images
Rotates images along with the annotations in the dataset
Binds nested objects into groups
Create new object classes from tags associated with objects
Edit tags of each object on image
Creates video from images in dataset with selected frame rate and configurable label opacity
Rename "Key:Value" tags to key_value (fruit: lemon -> fruit_lemon)
Convert each class name to tag associated with objects, and merge existing classes into single one
Open metrics in tensorboard
Convert polygon and bitmap labels to semantic segmentation
Split one or multiple datasets into parts
Add dataset name tag to all images in project or dataset
Convert all labels in the project or dataset to rotated bounding boxes
Creates images project from video project
Read every n-th frame and save to images project
Synthesize videos on annotated data
Converts shapes of classes on videos (e.g. polygon to bitmap) and all corresponding objects
Put images with labels into collage and renders comparison videos
Extract video fragment to selected project or dataset
Creates video project from images project
Creates video from images in dataset with selected frame rate and configurable label opacity
Split one or multiple datasets into parts
Change video framerate with preserving duration (recodes video)