— Data Services · Multi-Format Delivery
Format friction wastes engineering weeks. dexset delivers every dataset in standard or custom schemas, validated before export, so it loads on the first try.
Export console · 6 formats
— Capabilities
COCO, YOLO, Pascal VOC, JSON, and CSV exports generated and validated against format specifications.
Your field names, label taxonomy, and directory structure — defined once, applied to every delivery.
Schema checks, label integrity tests, and file audits run before anything reaches your team.
Every export versioned with a changelog of added clips, corrected labels, and schema changes.
API pull, cloud storage transfer, or checksummed archives — whichever fits your infrastructure.
Each delivery ships with a datasheet: capture context, label definitions, coverage stats, and known limitations.
— In Scope
— Compliance & Trust
From first consent form to final delivery, dexset workflows are built to meet data protection, security, and labor standards across the regions where we capture and the regions where our customers operate.
Every participant is briefed and signs a release before capture begins. Consent records attach to each clip, and withdrawal requests are honored across all delivered versions.
Face blurring, anonymization, and exclusion zones are applied wherever required. We minimize personal data by design and never collect more than the task brief demands.
Footage is encrypted in transit and at rest, with role-based access controls, signed delivery URLs, and per-recipient transfer records on every dataset.
Capture and delivery workflows are designed to align with GDPR and UK GDPR, CCPA/CPRA, PIPL, APPI, and LGPD requirements, with regional data-residency options where needed.
Source, consent, capture, environment, and annotation records persist for every dataset, supporting audits that run from raw footage to the exported training file.
Capture operators, demonstrators, and annotators are fairly paid and work under documented, safe conditions — quality data should never come from exploitative labor.
— What Teams Say
★★★★★
“The egocentric hand-pose labels are the best we have evaluated. Our grasp success rate improved 18% after one fine-tuning round.”
Priya Raman
Manipulation Lead, AI Robotics Company
★★★★★
“Coverage scoring meant we knew exactly what variation we were missing before training, not after burning a GPU budget on it.”
Sofia Almeida
Perception Engineer, AI Robotics Company
★★★★★
“We sent one task brief and got back a dataset that loaded into our pipeline on the first try. Custom schema, zero rework.”
Marcus Chen
ML Infrastructure Lead, Independent Robotics Vendor
— FAQ
COCO, YOLO, Pascal VOC, JSON, and CSV as standard, plus fully custom schemas. Masks, keypoints, temporal labels, and video-plus-frame exports are supported across formats where the format allows.
Your field names, label taxonomy, and directory structure are defined once at project start. Every subsequent delivery is generated against that contract automatically, so downstream code never changes between batches.
Schema conformance checks, label integrity tests, and file audits run on every batch. Exports ship only after validation passes, which is why datasets load on the first try.
Yes. Each export carries a version and a changelog of added clips, corrected labels, and schema changes — so you always know exactly what changed between training runs.
We will deliver a sample dataset in your exact schema before you commit to anything.