Ready-made AI training datasets that are already collected and available to license. Browse egocentric video, multi-camera, image and audio collections, review samples, and request the data your model needs without waiting for a new collection project.
Built for AI, robotics and computer vision teams that want to evaluate data quickly. If an OTS dataset is not a perfect fit, we can extend it with custom collection.
Browse OTS Datasets
OTS Datasets
Each collection has its own page with samples and details. Pick the data type that matches your model.
About OTS Data
An off-the-shelf (OTS) dataset is a pre-collected, ready-made set of AI training data that you license instead of commissioning a new data collection project. The data already exists, so your team can review samples, check that the content matches the model you are building, and start training sooner.
OTS datasets work best when your scenario is common enough for existing data to cover it: everyday activities for egocentric video, multi-view scenes for 3D vision, multilingual signage and documents for OCR, or speech and sound events for voice AI. When your requirement is more specific, custom data collection fills the gap.
Already collected, so you can start evaluating immediately
Samples to review before you request a dataset
Four data types: egocentric video, multi-camera video, image and audio
Custom collection available when OTS data is not enough
Off-the-shelf data is a practical starting point for teams building these kinds of systems.
Egocentric and multi-camera video that shows how people perform real tasks.
Image data for text recognition, object detection and document understanding.
Audio data for speech recognition, voice commands and sound event detection.
Synchronized multi-view video for depth, pose and scene reconstruction.
Both have a place. Use this comparison to decide which fits your project, or combine them.
| Factor | OTS Datasets | Custom Data Collection |
|---|---|---|
| Time to first data |
|
After planning and collection |
| Content |
|
Designed to your scenario |
| Samples |
|
Pilot batch can be discussed |
| Languages and devices |
|
Chosen by you |
| Best for |
|
Specific or unusual requirements |
Existing, already-collected data that your team can evaluate and use quickly.
Review samples from each dataset before you request access.
Data is already collected, so you skip the collection timeline.
Organized files with descriptive metadata. Exact fields are confirmed for each dataset.
Need another scenario, language or camera setup? We can collect it for you.
How It Works
From first look to delivery in four simple steps:
We collect custom datasets to your exact scenario, language and camera setup.
Custom first-person footage that shows tasks from the worker's point of view.
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Synchronized, calibrated multi-view video planned around your scene.
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Multilingual image datasets collected for your vision and OCR use case.
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Speech and sound recordings across the languages and environments you need.
Learn more →Answers to common questions about off-the-shelf AI training datasets.
An OTS (off-the-shelf) dataset is AI training data that has already been collected and is available to license, so you do not wait for a new collection project. You review samples first, then request the data that fits your model.
OTS datasets are fixed, pre-collected data you can evaluate right away. Custom collection is planned and recorded around your own scenario, languages and devices. Many teams start with OTS data to test an idea and add custom collection once they know what the model still needs.
We organize OTS data into four collections: egocentric video, multi-camera video, image and audio datasets. Each collection has its own page with samples and details.
Yes. Each dataset page is built so you can review samples before you decide. If you need a sample for a specific scenario, contact us and we will discuss what we can share.
Common uses include robotics and embodied AI, human activity recognition, 3D vision and pose estimation, OCR and document understanding, and speech and voice AI. The right collection depends on the data type your model learns from.
Delivery format, file structure, metadata and licensing terms depend on the dataset and your intended use. We confirm them with you before delivery so the data fits your training pipeline.
Yes. We run custom collection for egocentric video, multi-camera recording, image data and audio data, so you can extend an OTS dataset with exactly what your model needs.
Use the Request a Dataset button and tell us your model goal, the data type you need, expected volume and preferred format. We will reply with matching OTS options, any customization needed and next steps.
Get Started Today
Tell us your use case and we will match it to our OTS collections or plan a custom collection for your AI project.
Available to review now