Industrial Data Infrastructure
Industrial Vision Datasets for Robotics,
Humanoid Systems, and Physical AI
Structured multi-angle datasets with per-frame metadata, controlled lighting, and reproducible acquisition — built for robotics, humanoid systems, inspection, and multimodal AI.
Supports RGB, IR, RGB-D (depth), and mobile device cameras (phone/tablet) for real-world QC and inspection workflows.
Response within 24 hours
Trusted by robotics, humanoid AI, and industrial inspection teams
Structured Capture Pipeline
Controlled acquisition environments with programmable lighting, fixed geometry, and reproducible capture protocols across RGB, IR, RGB-D, and mobile camera systems. Every dataset is produced for consistency across angles, lighting conditions, and sessions.
Metadata-First
Every frame is paired with structured metadata covering acquisition geometry, lighting configuration, and calibration state — enabling dataset traceability, filtering, validation, and reproducible downstream workflows.
Secure Access
Datasets are distributed through controlled private access workflows, with support for sample sharing, research collaboration, and commercial engagement.
What We Offer
Structured datasets for every stage of model development — from early evaluation to full-scale training.
Research-Ready Sample Datasets
Curated sample packs for academic and exploratory evaluation. Structured metadata included for immediate integration into research workflows.
Custom Dataset Generation
Controlled capture programs tailored to your product classes, inspection needs, and robotics workflows. Datasets are available in production-like and annotated variants, captured from identical acquisition plans to guarantee spatial correspondence.
Commercial Dataset Delivery
Structured datasets prepared for internal model training, benchmarking, and downstream integration. Delivered with full metadata, version control, and traceability documentation.
Example Datasets
A selection of captured datasets across product categories. Each dataset includes structured per-frame metadata and reproducible acquisition parameters.
Bent Tip Stainless Steel Tweezers
Production-like RGB dataset with full rotation and 10 lighting configurations per angle.
Designed for pose estimation and lighting robustness across reflective metal surfaces.
Nylon Jaw Pliers
Hand tool — full rotation with multi-lighting coverage.
Suitable for grasping, manipulation, and multi-view object recognition.
M.2 SATA Solid State Drive
Storage component — PCB and connector coverage, full rotation.
Optimized for PCB inspection, connector detection, and component localization.
NETGEAR 8-Port Network Switch GS308
Networking hardware — enclosure and port detail, elevated angle.
Supports enclosure recognition and port-level feature detection.
PCBA — 8-Port Network Switch
Bare PCB assembly — component side, full rotation.
Useful for component-level inspection and fine-grained visual analysis.
Battery 18V 2Ah BOSCH
Industrial power tool battery — full rotation coverage.
Suitable for product recognition, label reading, and packaging inspection tasks.
Structured Per-Frame Metadata
Each dataset ships with a .jsonl metadata file — one JSON record per captured frame. Every acquisition parameter is logged for full traceability.
// ── Frame 1 of 50 ───────────────────────────────────────────────────────────
{
"frame_id": "000001", // unique identifier per frame
"capture_index": 1, // 1-based sequence within the run
"image_path": "images/IMG000001.jpg", // relative path inside the dataset archive
"object_label": "Battery 18V 2Ah BOSCH", // object identifier assigned at capture
"camera_id": "cam_rgb_0", // camera identifier — supports multi-camera rigs
"image_resolution": "2592x1944", // sensor resolution in pixels (width × height)
"view_id": 0, // viewpoint index in the capture sequence
"lighting_profile": "standard_white", // lighting configuration applied at this frame
"quality_flag": "ok" // per-frame quality status: ok / skipped / error
}
// ── Frame 25 of 50 ──────────────────────────────────────────────────────────
{
"frame_id": "000025",
"capture_index": 25,
"image_path": "images/IMG000025.jpg",
"object_label": "Battery 18V 2Ah BOSCH",
"camera_id": "cam_rgb_0",
"image_resolution": "2592x1944",
"view_id": 24, // mid-sequence viewpoint
"lighting_profile": "standard_white",
"quality_flag": "ok"
}
// ── Frame 50 of 50 — sequence complete ──────────────────────────────────────
{
"frame_id": "000050",
"capture_index": 50,
"image_path": "images/IMG000050.jpg",
"object_label": "Battery 18V 2Ah BOSCH",
"camera_id": "cam_rgb_0",
"image_resolution": "2592x1944",
"view_id": 49, // final viewpoint — full sequence captured
"lighting_profile": "standard_white",
"quality_flag": "ok"
}Use Cases
Structured industrial datasets built for real engineering workflows across robotics, AI, and inspection.
Robotics and Humanoid Perception Training
Multi-angle datasets for object detection, grasping, manipulation, and full-body perception in robotics and humanoid systems.
Multimodal Model Grounding
Physical-world data for grounding multimodal and LLM-based systems in real object geometry.
Industrial Visual Inspection
Controlled capture datasets for training and validating automated inspection models.
Keypoint and Fiducial Detection
Datasets with spatial correspondence across acquisition conditions for fiducial and corner detection training.
OCR and Mobile QC Inspection
Datasets captured using industrial and mobile cameras (phones/tablets) for real-world quality control, label reading, and inspection workflows.
Viewpoint and Lighting Robustness
Benchmarking model performance across controlled angle and lighting variation.
Assembly and Component Recognition
Multi-class industrial component datasets for assembly verification and part identification.
Pose Estimation and Correspondence
Structured multi-angle data for 6DoF pose estimation and cross-view correspondence learning.
Collaboration Models
Multiple engagement paths — from research evaluation to full commercial delivery.
Academic / Research
Sample datasets and research collaboration discussions. Suitable for academic labs, benchmark development, and exploratory model research.
Talk to an EngineerPilot / Evaluation
Small custom packages for model testing or proof of concept. A structured starting point before committing to a larger dataset program.
Get Sample DatasetCommercial
Larger structured datasets for internal training, benchmarking, or product programs. Scoped to your object category, capture requirements, and volume.
Talk to an EngineerPilot datasets and evaluation packages are available for initial testing. Larger structured datasets are scoped based on object complexity, capture requirements, and volume.
QBOT Technologies combines over 20 years of industrial automation and manufacturing experience with practical computer vision workflows.
Our datasets are not synthetic or scraped — they are captured in controlled, production-like environments designed to reflect real-world conditions in robotics and inspection systems.
We focus on reproducibility, traceability, and structured acquisition — enabling teams to train, validate, and benchmark models with confidence.
Get in Touch
Describe your use case, object category, or model workflow. We will recommend a dataset or propose a custom capture plan.