One streamlined platform that provides production-ready solutions to your business


AI STUDIO

AI STUDIO

Our AI studio team comprises of full stack AI developers who have vast experience in the field of Machine Learning, Deep Learning and Neural Network technologies. Our research work spans across development of some of the cutting edge technologies which enable the AI community to develop and deploy pioneering applications. We specialize in development edge applications which have the capability to perform in highly resource constrained environments.

Image Analytics
  • Image Classification & Detection
  • Bio Facial Recognition
  • Bio health Feedback
  • Image Forensic
Video Analytics
  • Event & Anomaly Detection
  • Text query based Video Search
  • Video Forensics
  • Video Summarization
  • Facial Analysis
Data Labeling
  • Use-Case-Specific Label Design
  • More Precise Predictions
  • Better Data Usability
  • Intuitive and streamlined task interfaces
  • Label auditing
Image Analytics

Image Annotation Services & Solutions

AI-powered applications such as ASR (automatic speech recognition), augmented reality, and neural machine translation have effectively changed lives and how businesses operate around the world in this era of machine learning (ML) and artificial intelligence (AI).


Other revolutionary advancements include facial recognition, unmanned drones, and self-driving vehicles. Computer vision is used in these technologies. However, computer vision technology cannot exist without image annotation. Image annotation is the foundation of computer vision and other related technologies.


Slanting Lines can be your ideal outsourcing partner if you need high-quality image annotation services for a machine learning model or image labelling project. When you outsource image annotation services to us, our qualified data annotators use advanced tools to create a high-quality dataset that can be used to create a high-quality dataset.

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Video Analytics

Video Annotation Services & Solutions

A large amount of training data is required to build an efficient and intelligent system that thinks and acts like a human. The training data set includes image, video, audio, and text data. The training data must be accurately categorised and labelled or tagged in order for an AI-based model to understand it. Video data, like any other type of data, must be annotated. Video annotation, like image annotation, aims to enable AI models to recognise objects using computer vision.

A video is a logical series of images called frames. Metadata, also known as tags or labels, is added to the objects of interest in each frame of video annotation. The primary goal of video annotation is to train AI models to detect moving objects in videos. This is accomplished by outlining objects frame by frame with various annotating techniques such as 2D and 3D bounding boxes, polygons, and so on. Human-annotated video data sets of high quality can help businesses not only improve their existing AI models, but also design and produce remarkable AI applications.

Data Labeling

On-Demand Data Labeling Services

Slanting Lines AI's labelling and data annotation services help you create accurate AI/ML models. Outsource data labelling services to our experts and obtain production-grade models built with cutting-edge academic benchmarks and quality standards.


Data labelling is an important step in the development of a machine learning model. It is a data annotation subprocess that serves as the foundation for creating high-quality, precision-based training datasets. Our data labelling services work in tandem with data annotation requirements to produce label sets that are appropriate, meaningful, and easily distinguishable. Then, using the most recent AI-enabled tools, a team of professional data annotators creates a contextually accurate machine learning training dataset using these labels.

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