Our Solutions
Data is the new currency is what we believe here at LIL Projects. We aim to make data speak for itself. From agriculture specialists to medical specialists, we have teams from every field to give expert insights on any data. We combine human intelligence and machine learning to produce ground truth data for enterprise AI and ML projects.
IMAGE AND VIDEO ANNOTATION
Get rid of the bottleneck of creating training data and advance your machine learning projects with our full-service image and video labelling platform.
TEXT AND AUDIO ANNOTATION
Audio, transcription or hand-written text— our solutions create value out of your data at any scale. Our platform and team take care of configuring the data labelling tasks and deploy them to a group of human specialists, who we train to meet your project and accuracy requirements. You get high-accuracy training data in a fraction of the time it would take to build it in-house.
What We do
Bounding Box
For object detection and localization in images and videos. Significantly used for object localization for self-driving cars, object detection for e-commerce, damage detection for insurance, drone and robot training.
Semantic Segmentation
For pixel level scene understanding. Highly useful in autonomous vehicles and safety surveillance cameras, where information of every pixel is crucial and may affect the accuracy of the perception model.
Line Annotation
Define pixel coordinate and polylines for precision training Autonomous Driving model. For self-driving cars. Well-defined various kinds of lanes for ego car, bicycle, divergence, opposite direction traffic.
Polygonal Annotation
For precise object shape detection and localization in images and videos.Used to best estimate the shape of objects captured from distant cameras.
Cuboid Annotation
For 3D perception from 2D images and videos.Used for training computer vision models for spatial cognition from 2D images or videos.
Categorization
Categorization is the perfect way of processing large quantities of data quickly, accurately and inexpensively.
Keypoint Annotation
Manual image annotation is the process of manually defining regions in an image and creating a textual description of those regions.
Poly Mask Annotation
Specifies a space, in page units, that surrounds the Input Annotation Layer features used to create the mask polygons.
