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Dataklid AI

Dataklid AI

Agency
USA flagSan Francisco, California, Usa
dataklid.com/
$30.00/hrExpert250+SOC 2ISO 27001GDPRFISMA

Key Skills

Software

AWS SageMakerAWS SageMaker
Anno-MageAnno-Mage
AppenAppen
ArgillaArgilla
Axiom AI
ClickworkerClickworker
CloudFactoryCloudFactory
CrowdSourceCrowdSource
CVATCVAT
Data Annotation TechData Annotation Tech
DataloopDataloop
DatumboxDatumbox
DataturkDataturk
Figure EightFigure Eight
Google Cloud Vertex AIGoogle Cloud Vertex AI
HiveMindHiveMind
HumanaticHumanatic
Img Lab
LabelboxLabelbox
LabelImgLabelImg
Label StudioLabel Studio
LionbridgeLionbridge
Mighty AIMighty AI
MindriftMindrift
OneFormaOneForma
OpenCV AI Kit (OAK)OpenCV AI Kit (OAK)
RoboflowRoboflow
SamaSama
Scale AIScale AI
SuperAnnotateSuperAnnotate
SuperviselySupervisely
Surge AISurge AI
TolokaToloka
TelusTelus
VoTT
V7 LabsV7 Labs
Other
Internal/Proprietary Tooling

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code ProgrammingComputer Code Programming
Geospatial Tiled ImageryGeospatial Tiled Imagery
Medical DicomMedical Dicom

Top Task Types

Bounding Box
Computer Programming Coding
Object Detection
RLHF
Segmentation

Company Overview

Dataklid is a forward-thinking tech company at the forefront of innovation, contributing to the development of the metaverse and shaping the future of technology. Our expertise spans a wide range of fields, from computer vision, AI, and machine learning to data annotation, processing, and ground truth data, essential elements for building immersive metaverse environments. We're also leading the charge in web3 applications, blockchain integration, and API launches to enable seamless metaverse experiences. Our capabilities extend to sensor functionality, drone and robotic technology, and advanced document processing, all of which play a vital role in the metaverse's evolution. Connect with us to explore how we can help you become a part of the metaverse revolution and bring your vision to life

ExpertArabicEnglishSpanish

Security

Security Overview

Security & Privacy Overview for Dataklid AI -------------------------------------------- 1. Physical Security Measures: Secure Access: Employees use multi-factor authentication (MFA) and strong passwords. Home office setups limit physical access. Equipment Security: Devices are encrypted and have tracking software for secure usage and remote wiping if needed. 2. Cybersecurity Policies: Network Security: VPNs, firewalls, and intrusion detection systems (IDS) protect against cyber threats. Antivirus: Devices have up-to-date antivirus and anti-malware software with regular scans and updates. Software Updates: Automated systems ensure all software is regularly updated. 3. Employee Confidentiality: NDAs: All employees and contractors sign NDAs to protect client data. Training: Regular training on data privacy, phishing recognition, and secure data handling. Access Control: Role-based access control (RBAC) restricts access to sensitive data. 4. Audits and Compliance: Internal Audits: Regular reviews enhance security measures. Compliance: Practices align with GDPR and ISO 27001, with regular checks. Third-Party Audits: Periodic audits validate security measures. 5. Data Encryption and Backup: Encryption: Data is encrypted at rest and in transit. Backup: Regular backups are securely stored to prevent data loss. 6. Incident Response Plan: Preparedness: A robust plan addresses and mitigates breaches. Response Team: A dedicated team handles security incidents swiftly. Dataklid AI's comprehensive security measures protect client data and ensure project integrity, building trust through proactive security and confidentiality.

Security Credentials

SOC 2ISO 27001GDPRFISMA

Labeling Experience

V7 Labs

Video Annotation

V7 LabsVideoPoint Key Point
Project Title: Human Keypoint and Bounding Box Annotation for Video Analysis Project Overview: This project involves annotating human keypoints and bounding boxes in videos to enable detailed analysis of human poses and movements. Annotations are crucial for applications in computer vision, including surveillance, sports analytics, and healthcare monitoring. Utilizing the V7 Labs interface via Google Chrome, annotators will review pre-annotations, create precise bounding boxes, add 17 key points per person, and label attributes like occlusion and orientation. Quality assurance involves meticulous review across frames to ensure accuracy and adherence to project standards. This project aims to deliver high-quality annotated datasets to support advancements in AI and machine learning applications.

Project Title: Human Keypoint and Bounding Box Annotation for Video Analysis Project Overview: This project involves annotating human keypoints and bounding boxes in videos to enable detailed analysis of human poses and movements. Annotations are crucial for applications in computer vision, including surveillance, sports analytics, and healthcare monitoring. Utilizing the V7 Labs interface via Google Chrome, annotators will review pre-annotations, create precise bounding boxes, add 17 key points per person, and label attributes like occlusion and orientation. Quality assurance involves meticulous review across frames to ensure accuracy and adherence to project standards. This project aims to deliver high-quality annotated datasets to support advancements in AI and machine learning applications.

2024 - 2024
Scale AI

Lidar 3D

Scale AI3D SensorBounding BoxComputer Programming Coding
The project focuses on LiDAR data calibration and annotation, emphasizing accurate cuboid labeling, occlusion handling, and error correction in 3D point clouds. It provides training materials, best practices, and feedback mechanisms to ensure high-quality annotations for autonomous systems and machine learning applications.

The project focuses on LiDAR data calibration and annotation, emphasizing accurate cuboid labeling, occlusion handling, and error correction in 3D point clouds. It provides training materials, best practices, and feedback mechanisms to ensure high-quality annotations for autonomous systems and machine learning applications.

2024
Google Cloud Vertex AI

AI Train Chatbot

Google Cloud Vertex AITextEvaluation RatingQuestion Answering
The protocols designed by the world's finest AI researchers instruct the AI to read, write, summarize information, and interpret meaning. Imagine becoming a language arts instructor or a personal tutor for some of the world's most prominent technology.

The protocols designed by the world's finest AI researchers instruct the AI to read, write, summarize information, and interpret meaning. Imagine becoming a language arts instructor or a personal tutor for some of the world's most prominent technology.

2024
CVAT

Medical x-ray annotation

CVATMedical DicomData CollectionPolygon
Project Description: This project focuses on animating a series of X-ray images and utilizing machine learning techniques to enhance their clarity and interpretability. By applying advanced algorithms, we aim to transform these X-rays into a format that facilitates better understanding by machines. This process involves enhancing image quality, reducing noise, and improving contrast to highlight critical details for diagnostic purposes. The annotated X-rays will be analyzed to train machine learning models, improving their ability to detect and interpret medical conditions accurately. Through this project, we aim to contribute to the advancement of medical imaging technology, ultimately benefiting healthcare by providing more precise diagnostic tools.

Project Description: This project focuses on animating a series of X-ray images and utilizing machine learning techniques to enhance their clarity and interpretability. By applying advanced algorithms, we aim to transform these X-rays into a format that facilitates better understanding by machines. This process involves enhancing image quality, reducing noise, and improving contrast to highlight critical details for diagnostic purposes. The annotated X-rays will be analyzed to train machine learning models, improving their ability to detect and interpret medical conditions accurately. Through this project, we aim to contribute to the advancement of medical imaging technology, ultimately benefiting healthcare by providing more precise diagnostic tools.

2024

image Annotation

OtherImageBounding BoxClassification
Project Description: Park Image Annotation Tool: NIIA Our project focused on annotating park images to provide detailed insights into park environments. We meticulously annotated park materials such as benches, pathways, trees, and playground equipment, cataloging park infrastructure. Using keypoints, we annotated human subjects, capturing gestures and interactions accurately. We analyzed lighting, seasonal variations, and weather for environmental context. These annotated images supported research on human behavior in outdoor spaces, aided urban planning by informing park design decisions, and served as training data for AI models to automate park analysis tasks. Our use of keypoints ensured precise localization and tracking of subjects, maintaining annotation quality across the dataset.

Project Description: Park Image Annotation Tool: NIIA Our project focused on annotating park images to provide detailed insights into park environments. We meticulously annotated park materials such as benches, pathways, trees, and playground equipment, cataloging park infrastructure. Using keypoints, we annotated human subjects, capturing gestures and interactions accurately. We analyzed lighting, seasonal variations, and weather for environmental context. These annotated images supported research on human behavior in outdoor spaces, aided urban planning by informing park design decisions, and served as training data for AI models to automate park analysis tasks. Our use of keypoints ensured precise localization and tracking of subjects, maintaining annotation quality across the dataset.

2024 - 2024