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Piezee

Piezee

Agency
Pakistan flagIslamabad, Pakistan
$12.00/hrExpert20+

Key Skills

Software

AWS SageMakerAWS SageMaker
ClickworkerClickworker
CloudFactoryCloudFactory
CVATCVAT
DataloopDataloop
iMeritiMerit
Img Lab
Kili TechnologyKili Technology
LabelboxLabelbox
LabelImgLabelImg
Label StudioLabel Studio
MindriftMindrift
ProdigyProdigy
RemotasksRemotasks
RoboflowRoboflow
SamaSama
Scale AIScale AI
SuperAnnotateSuperAnnotate
SuperviselySupervisely
Surge AISurge AI
TolokaToloka
TelusTelus
V7 LabsV7 Labs
Other
Internal/Proprietary Tooling

Top Subject Matter

No subject matter listed

Top Data Types

AudioAudio
ImageImage
Medical DicomMedical Dicom

Top Task Types

Action Recognition
Bounding Box
Classification
Polygon
RLHF

Company Overview

At Piezee, we specialize in providing high-quality audio data labeling services, crucial for training Al models that rely on speech recognition, natural language processing, and audio analysis. Our experienced team focuses on delivering precise and accurate audio labeling solutions tailored to the specific needs of your projects. Our services include: Speech-to-text transcription Speaker identification and segmentation Noise detection and classification Sound event labeling At Piezee, we ensure that your Al models are trained with the highest-quality labeled data, improving their performance and accuracy. Whether you're working on small or large- scale projects, we offer scalable, reliable, and timely solutions to help you succeed.

ExpertUrduArabicEnglishPunjabi

Security

Security Overview

Security & Privacy Overview At Piezee, we prioritize the security and confidentiality of our clients’ data. We follow a multi-layered approach combining physical safeguards, cybersecurity protocols, and strict employee policies to ensure end-to-end protection of all projects. Physical Security Secure access control to facilities—only authorized personnel can enter. 24/7 CCTV surveillance across all work areas. Workstations are restricted—USB ports disabled, screen locks enforced. Cybersecurity Measures Encrypted data transfer (TLS/SSL) and storage (AES-256). Firewalled network infrastructure with IP restrictions and role-based access. Antivirus and endpoint protection across all devices. Regular vulnerability assessments and security patches. Sandboxed environments for sensitive projects with no internet access. Employee Confidentiality & Data Handling Mandatory NDAs signed by all staff and contractors. Background checks conducted for sensitive roles. Ongoing training on data privacy, security protocols, and compliance. Least-privilege access ensures users only access what they need. Compliance & Monitoring Regular internal audits to ensure adherence to policies. Strict data retention and secure deletion post-project. Incident response protocol in place for fast resolution of any breaches. Activity logging and audit trails available for client review. Through strong infrastructure, well-trained teams, and proactive monitoring, we ensure that your data is always handled with the highest level of integrity and security.

Labeling Experience

Sport Video Labeling | Rugby Analysis

OtherVideoAction Recognition
Project: Rugby Video Annotation for Action Detection We are working on a large-scale rugby video labeling project focused on temporal action detection using the VGG Image Annotator (VIA). The goal is to accurately tag specific rugby actions (e.g., passes, tackles, lineouts) across full game videos for sports analytics and machine learning training. Project Highlights 365.5 full games annotated over 6 months 36,550 minutes of footage (~609 hours) 109.65 million frames processed ~950 actions/game (min 720, max 1200) 347,225 total actions tagged 1,827+ annotation hours delivered 4–5 hours spent per game on average Tools & Quality Labeled using VIA tool Annotators trained with detailed rugby guidelines Internal reviews and ongoing client feedback ensured accuracy Ongoing Work This project is still in progress. We’ve also completed multiple projects with the same client, including a large-scale soccer annotation task.

Project: Rugby Video Annotation for Action Detection We are working on a large-scale rugby video labeling project focused on temporal action detection using the VGG Image Annotator (VIA). The goal is to accurately tag specific rugby actions (e.g., passes, tackles, lineouts) across full game videos for sports analytics and machine learning training. Project Highlights 365.5 full games annotated over 6 months 36,550 minutes of footage (~609 hours) 109.65 million frames processed ~950 actions/game (min 720, max 1200) 347,225 total actions tagged 1,827+ annotation hours delivered 4–5 hours spent per game on average Tools & Quality Labeled using VIA tool Annotators trained with detailed rugby guidelines Internal reviews and ongoing client feedback ensured accuracy Ongoing Work This project is still in progress. We’ve also completed multiple projects with the same client, including a large-scale soccer annotation task.

2024 - 2024