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Adarsh Singh

Agency
India flagGreter Noida, India
$5.00/hrExpert25+

Key Skills

Software

Other

Top Subject Matter

No subject matter listed

Top Data Types

ImageImage
TextText
AudioAudio

Top Task Types

Bounding Box
Polygon
Segmentation
Classification
Object Detection

Company Overview

Patal Ganga IT is a boutique AI data annotation firm based in Greater Noida, powered by an expert team of 25 specialists. We deliver high-precision, bulk labeling and human-in-the-loop validation for Computer Vision, NLP, and Audio datasets. Combining boutique agility with enterprise reliability, Patal Ganga IT accelerates your AI development pipeline with meticulously verified data at optimized costs.

ExpertHindiJapaneseChinese Mandarin

Security

Security Overview

Centralized Security: All 25 experts work from a strictly controlled, biometric-secured facility in Greater Noida under 24/7 CCTV surveillance. "Clean Desk" Policy: Personal electronic devices, cameras, and writing materials are strictly banned from the production floor to prevent any data leakage. Zero Local Storage: Company-owned workstations are hardened with disabled USB ports and process data transiently, ensuring nothing is ever downloaded locally. Granular Access: We implement strict Role-Based Access Control (RBAC) and mandatory MFA, ensuring annotators can only access their specific assigned datasets. Verified Personnel: Every team member is background-checked, bound by a strict NDA, and trained in global data privacy standards like GDPR and India's DPDP.

Labeling Experience

RMSI

OtherImageText Generation
We provided linguistically diverse, contextually accurate descriptive captions for a large-scale visual dataset. Unlike basic attribute tagging, our team generated structured sentences that describe object relationships, spatial context, and overall scene activity to improve visual understanding in Multi-Modal Large Language Models (LLMs)

We provided linguistically diverse, contextually accurate descriptive captions for a large-scale visual dataset. Unlike basic attribute tagging, our team generated structured sentences that describe object relationships, spatial context, and overall scene activity to improve visual understanding in Multi-Modal Large Language Models (LLMs)

Present