AI Resource Center - Case Study
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Advancing Embodied AI with Real-World Egocentric Data
Enabling human activity recognition, robotics, & hand-object interaction models with scalable video captured in household and industrial environments.
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Scaling Physical AI and Humanoid Robotics
End-to-end data operations pipeline covering scene setup, QR mapping, 5-sensor tracking to support 100 defined tasks for embodied AI datasets at scale.
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Synthetic Tax Case Datasets for US
The client required a large-scale dataset of realistic individual tax cases spanning federal filing requirements plus state-level variations across USA.
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Voice Cloning Quality with Human Evaluation
Voice cloning models sound impressive in demos but often struggle in real-world use, so the client needed a reliable way to measure improvement for Indian English.
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Training data to build multi-lingual Conversational AI
High-quality audio data sourced, created, curated, and transcribed to train conversational AI in 40 languages.
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Utterance data collection to build multi-lingual digital assistant
Delivered 7M+ Utterances with over 22k hours of audio data to build Multi-lingual digital assistants in 13 languages.
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30K+ docs web scrapped & annotated for Content Moderation
To build automated content moderation ML Model bifurcated into Toxic, Mature, or Sexually Explicit categories.
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Collect, Segment & Transcribe audio data in 8 Indian Languages
Over 3k hours of Audio Data Collected, Segmented & Transcribed to build Multi-lingual Speech Tech in 8 Indian languages.
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Key Phrase Collection for in-car voice-activated systems
200k+ key phrases/brand prompts collected in 12 global languages from 2800 speakers in stipulated time.
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8k+ Audio hours Automatic Speech Recognition
To assist the client with their Speech Technology speech roadmap for Indian languages.
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Enabling Smarter Call Centers with AI-Driven Insights
Transform call center operations with AI-driven speech emotion and sentiment analysis.
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Image Collection & Annotation to enhance Image Recognition
High-quality image data sourced and annotated to train image recognition models for new smartphone series.
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Enhancing Healthcare Predictive Models with Generative AI
Discover how predictive healthcare models achieve enhanced accuracy using generative AI and LLMs.
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LiDAR Annotation Project for SmartCity Autonomous Vehicles
Discover how Shaip successfully annotated 15,000 frames of LiDAR & camera data for SmartCity.
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Voice-Based UPI Payment Prompts: Capturing Diversity for AI
Shaip develops comprehensive voice-based UPI payment system with diverse cultural audio recordings.
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Boosting E-Commerce Chatbot Accuracy with CoT Reasoning
A detailed look at CoT-based prompt engineering implementation in e-commerce.
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Enhancing Prior Authorization Workflows through Guideline Adherence Annotations
Transform medical prior authorization with expert clinical data annotation and guideline adherence.
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Enhancing Clinical Ambient Intelligence with Patient Physician Conversations
Generate high-quality synthetic healthcare conversations with diverse participants and real clinical environment simulation.
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Oncology Data Precision: De-identification, & Annotation for NLP Model Innovation
Oncology NLP Case Study: AI-Powered Cancer Data Processing Solutions for Healthcare Research.
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Voice-Based Singing Audio Collection for EQ
Diverse singing audio collection for EQ and compression algorithm training.
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Anti-Spoofing Video Data Collection
Discover how Shaip provided 25k videos to enhance AI fraud detection models.
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Medical Data Curation, De-ID & ICD-10 CM Annotation
Enabling Accurate AI with Data Licensing, De-identification & Annotation.
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Off-the-Shelf Facial Recognition Datasets
Accelerating AI training and reducing bias with ethically sourced, diverse datasets for a global tech leader.
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Enhancing Search Query
Enhancing search relevance by using human judgment and structured taxonomy to resolve ambiguous cases for a Poland-based e-commerce leader.
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MRI De-Identification Research
A multi-institutional research program chose Shaip to design and validate an MRI de-identification workflow that secures ~100k scans for compliant data sharing.
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Cardiac Amyloidosis with Expert CT Annotation
A clinical AI group partnered with Shaip to turn cardiac CT criteria for early amyloidosis into production-ready ML labels.
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Facial Image Dataset with Age Progression Diversity
So many participants, a time-separated face image corpus to strengthen fairness and robustness for computer vision models.
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Human Body Keypoint Annotation
Shaip annotated 150,000 image and video frames using a 36-keypoint full-body schema to support pose estimation, motion analysis, fitness tracking, and healthcare movement AI.
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Smart Bathroom Health Monitoring: Toilet Bowl Image Classification Case Study
Smart Bathroom Health Monitoring: Toilet Bowl Image Classification Case Study How Shaip delivered a structured medical image annotation pipeline classifying 10,000 toilet bowl images...
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Ground Engaging Tools (GET) Bounding Box Annotation
Shaip delivered 40,000 GET bounding box annotations per month across 15 Ground Engaging Tool classes, using KITTI 1.0 format and a 99%+ accuracy gate for wear-monitoring AI.
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Railway Multi-Modal LiDAR and 2D Annotation
Shaip delivered 2D camera and 3D LiDAR annotation across 39+ railway object classes, 8 label types, and 25+ signal states to support autonomous train perception and railway safety AI.
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3D LiDAR Bounding Box Annotation for Autonomous Driving
Shaip provided 3D LiDAR and camera annotation for autonomous vehicle perception, supporting object detection, sensor alignment, and model-ready training data for smart mobility AI.
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Retail Fashion Product Annotation
Shaip delivered multi-attribute fashion product annotation across mannequin, flat-lay, and live-model imagery to support visual search, outfit recommendation, virtual try-on, and inventory automation AI.
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Full Scene Semantic Segmentation
Shaip delivered pixel-level semantic segmentation across full street scenes, labeling every object and surface for autonomous driving, smart city, and environmental AI applications.
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Agriculture Fruit Detection Bounding Box Annotation
Shaip annotated every visible apple in orchard imagery with tight bounding boxes and 3-layer condition attributes to support yield estimation, robotic harvesting, and crop health AI.
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OCR Text Detection & Transcription Annotation
Shaip delivered word-level bounding boxes and character-level transcription across documents, handwriting, signage, receipts, license plates, and other text sources for OCR and document intelligence AI.
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Dental Image Annotation for Automated Diagnosis & Tele-Dentistry AI
Shaip performed polygon segmentation of individual teeth across dental X-rays, intraoral images, and clinical photos to support automated diagnosis, treatment planning, and tele-dentistry AI.
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Indoor Scene Object Annotation for Service Robotics & Embodied AI
Shaip annotated dense indoor scenes with bounding boxes, polygons, spatial relationships, and object attributes to support robotic perception, navigation, and interaction AI.
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Face Annotation Across Diverse Demographics, Under Ethical Discipline
Shaip delivered face bounding boxes, facial landmark mapping, and 10+ attribute layers for facial recognition, emotion detection, age estimation, identity verification, and related face AI applications.
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Satellite Image Annotation for AgriTech AI
Shaip delivered parcel-level polygon segmentation across aerial and satellite agricultural imagery, covering 9+ land partition types and 6-layer land intelligence for precision agriculture and geospatial AI.
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Vehicle Image Annotation for Insurance Claims, Repair Estimation & Fleet Inspection AI
Shaip annotated vehicle body parts and damage using polygon segmentation, 11-class damage classification, severity tagging, and repair recommendation attributes for insurance and inspection AI.
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Accelerating AI-Powered Stool Analysis with High-Precision Medical Image Annotation
Shaip annotated 700,000+ stool-related healthcare images using polygon stool segmentation, basin bounding boxes, and AOI classification to support automated gastrointestinal health analysis.
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Transforming Railway Scene Understanding with LiDAR & 2D Annotation
Shaip delivered LiDAR and 2D image annotation for railway scene understanding, creating model-ready datasets for rail object detection, scene perception, and autonomous mobility AI.
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