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Softechub

Softechub

Agency
Nigeria flagAbuja, Nigeria, Nigeria
$12.00/hrExpert200+

Key Skills

Software

AWS SageMakerAWS SageMaker
AppenAppen
CVATCVAT
DoccanoDoccano
LabelboxLabelbox
LabelImgLabelImg
Label StudioLabel Studio
V7 LabsV7 Labs
Internal/Proprietary Tooling
RoboflowRoboflow

Top Subject Matter

No subject matter listed

Top Data Types

ImageImage
TextText
VideoVideo

Top Task Types

Bounding Box
Entity Ner Classification
Evaluation Rating
Prompt Response Writing SFT
RLHF

Company Overview

Softechub is on a mission to power smarter AI with impeccable data. We partner with enterprises, startups, and research labs to transform raw text, images, and video into structured, high-quality datasets. With a blend of technical rigor and agile collaboration, we ensure your models learn from data that’s accurate, consistent, and ready for real-world impact.

ExpertIgboHausaFrenchYorubaEnglish

Security

Security Overview

Security & Privacy Overview At Softechub, we are committed to maintaining the highest standards of data security and client confidentiality. Our approach to safeguarding client data and projects is built on strict internal policies and procedures designed to protect both physical and digital assets. Employee Confidentiality & Data Handling All employees and contractors are required to sign comprehensive Non-Disclosure Agreements (NDAs) before accessing any client-related data or projects. We also provide regular training on data privacy and secure data handling practices to ensure compliance with global standards. Access to project data is role-based and granted strictly on a need-to-know basis. Cybersecurity Measures We operate within secure, monitored digital environments. All devices used for client projects are protected with up-to-date antivirus software and encrypted storage. Our internal systems leverage firewalls and secure VPN connections to restrict unauthorized access. All data transfers are encrypted using industry-standard protocols.

Labeling Experience

Roboflow

Remote Sensing Terrain Segmentation

RoboflowImagePolygon
The Non-Drivable Area Classification project focuses on the semantic segmentation of satellite or aerial imagery to distinguish non-drivable terrain from drivable paths. Leveraging remote sensing data, the goal is to train machine learning models to identify and classify terrain types that are unsuitable for vehicle navigation, such as: Bodies of water (rivers, lakes) Dense vegetation (forests, jungles) Steep slopes and cliffs Sandy, muddy, or rocky surfaces Urban obstacles (buildings, walls, barriers)

The Non-Drivable Area Classification project focuses on the semantic segmentation of satellite or aerial imagery to distinguish non-drivable terrain from drivable paths. Leveraging remote sensing data, the goal is to train machine learning models to identify and classify terrain types that are unsuitable for vehicle navigation, such as: Bodies of water (rivers, lakes) Dense vegetation (forests, jungles) Steep slopes and cliffs Sandy, muddy, or rocky surfaces Urban obstacles (buildings, walls, barriers)

2024 - 2024

Image Captioning

Internal Proprietary ToolingImageBounding BoxText Generation
Softechub partnered with MoonvalleyAI, a leading AI research company, to create descriptive captions for over 150,000 images. Each caption clearly explained objects, actions, and scenes, helping train MoonvalleyAI’s AI models. Our detailed captions enabled their AI to better understand and describe images like a human would. This improved the accuracy and speed of their AI model training significantly. MoonvalleyAI benefited by launching stronger, smarter, and more reliable AI tools.

Softechub partnered with MoonvalleyAI, a leading AI research company, to create descriptive captions for over 150,000 images. Each caption clearly explained objects, actions, and scenes, helping train MoonvalleyAI’s AI models. Our detailed captions enabled their AI to better understand and describe images like a human would. This improved the accuracy and speed of their AI model training significantly. MoonvalleyAI benefited by launching stronger, smarter, and more reliable AI tools.

2024 - 2024