File Upload
Upload media data into highly scalable data lake storage. Automated metadata management And effective
centralized storage management.
Extract
Extract files from a ZIP archive, Some files are simply too important to even think about losing, So
keeping a copy of the folder is better than losing information, Moving files between folders.
Collaboration
Share files with your team to access the same set of files you'd like to use.
Track File
We tend to lose sight of where files are being used. Track each file using lineage feature.
Single Label
Single label classification allows you to label images containing exactly one of multiple classes.
Multi Label
Multi label classification allows you to classify datasets with more than one target variable. The given
input prediction may belong to more than one label. Several labels that are the outputs for a given
prediction.
2D Object Detection
2D Object detection is a computer vision technique for locating instances of objects in images.
3D Object Detection
3D object detection involves recognizing and determining 3D information, such as pose, volume, or shape,
of user-chosen 3D objects in a photograph or range scan.
Segmentation
Semantic segmentation is the process of associating each pixel of an image with a class label. Multiple
objects of the same class as a single entity.
Keypoints
Human Pose Estimation (HPE) is a way of identifying and classifying the joints in the human body.
Essentially it is a way to capture a set of coordinates for each joint (arm, head, torso, etc.,) which is
known as a key point that can describe a pose of a person. The connection between these points is known
as a pair.
AI Annotations Tools
Quickly annotate images with AI-based segmentation tools that also reduce the number of clicks per
annotation.
Image Editor
Image editing refers to modifying or improving digital or traditional photographic images using different
techniques, tools or software. Images produced by scanners, digital cameras or other image-capturing
devices may be good, but not perfect.
Collaboration
Share the dataset with your team to access the same set of images where users can annotate the same
dataset.
Versioning
The image augmentation carried out in the Swell application, is stored as a separate dataset version.
Video Annotations
Video annotation is the process of labeling or tagging video clips which are used for training computer
vision models to detect or identify objects. Unlike image annotation, video annotation involves
annotating objects on a frame-by-frame basis to make them recognizable for machine learning models.
Image Augmentation
Synthetic data is information that's artificially manufactured rather than generated by real-world
events. Synthetic data is created algorithmically, and it is used as a stand-in for test datasets of
production or operational data, to validate mathematical models and, increasingly, to train machine
learning models.
Clipper
Cut frames from the video. You can either extract all the pictures or a specific time range can be cut.
Finally , you can save the images you think it's important.
Model Training
Train datasets with cutting-edge models. In addition, you can quickly Customize Model Parameters, Compare
and analyze multiple training outcomes in one place.
Model Inference
Test the trained model, with our inference flow and see what works best for you.
Analytics
A dashboard for time-generated tickets for better incident monitoring.
Alerts
Schedule the deployment of trained models in less than a minute, resulting in a real-time ticket and
alert generation.
