Kled: Real-World Capture
Collection
Phone photos, screenshots and short video of streets, shelves, screens, scams, weather and packaging as contributors meet them. • 54 items • Updated
Request a sample set of Slow Orbit Video, One Object
Prefer email? Write to team@kled.ai with the dataset name in the subject line.
Kled delivers sample sets and licensed data by email, not through Hugging Face. Tell us a little about your work and the Kled data team will send a sample set and pricing. Your request goes to team@kled.ai.
Log in or Sign Up to review the conditions and access this dataset content.
Dataset Card for Slow Orbit Video, One Object
Continuous 30 to 60 second clips circling slowly around one ordinary object in even light, object centered throughout.
Collected through the Kled app by consenting contributors and licensed for commercial training. The files are delivered by Kled under license, not downloaded from this repository. Use Request a sample set at the top of this page, or write to team@kled.ai. Catalog entry: kled.ai/datasets/slow-circle-video-around-one-object.
Dataset Details
Dataset Description
Put one object in even light, record a full slow circle with the object centered, about thirty seconds per lap, plus a second lap higher or lower. Blur, the object leaving frame, partial arcs, cuts and dark footage are sent back. Ten per contributor, from a global base strongest in Southeast Asia, the United States and Europe, so the objects are the long tail of household things. No poses or segmentations; structure-from-motion recovers poses well on this input. A slow orbit is the cheapest input to photogrammetry, NeRF and Gaussian splatting: one clip yields an asset; commercial 3D libraries cover branded goods, and the plastic stool, rice cooker and local snack packet are rarely in them.
- Curated by: Kled (useKled)
- Collected through: Phone camera (in app)
- Regions: Global, 100+ countries
- Volume: 5,000+ clips (approx. 600 GB)
- Contributors: 1,000+
- Modality: Video
- Format: MP4 / MOV
- Resolution: 720p to 4K as recorded, 30 fps typical (MP4, MOV)
- Annotations: Raw (no labels)
- Quality control: 99%+ passed QA review
- License: Non-exclusive commercial training license (terms); exclusivity available on request
- Consent: Each contributor opted in to this use when they uploaded.
Dataset Sources
- Catalog page: kled.ai/datasets/slow-circle-video-around-one-object
- Sample set: through the access request at the top of this page, or team@kled.ai
- Publisher: huggingface.co/useKled
Uses
Direct Use
- Photogrammetry and Gaussian splatting assets
- NeRF training on consumer objects
- 3D reconstruction evaluation
Out-of-Scope Use
Redistribution or resale of the files, use outside the terms of the commercial training license, and any attempt to identify or contact contributors or people who appear in the data. Uses that require labels this set does not carry should be scoped with the data team first.
Dataset Structure
Data Instances
One clip per record, delivered as MP4 / MOV. Volume: 5,000+ clips.
Data Fields
- File: the MP4 / MOV file as captured or uploaded by the contributor
- Labels: none; the set is delivered raw. Labeling on the same items is available on request.
- Capture metadata: capture tool, country of capture, submission time
- Review status: QA outcome (99%+ passed QA review)
Field names and the manifest format are confirmed with the sample set.
Data Splits
Delivered as one set. Subsets by country, language or label, and custom splits, are available on request.
Dataset Creation
Curation Rationale
The dataset exists because the public alternatives named in the description are non-commercial, synthetic, small or collected elsewhere. Kled runs the task as a paid brief in its app so that the data is captured on purpose, under the capture rules above, by people who have opted in to commercial use.
Source Data
Data Collection and Processing
Contributors complete the task in the Kled app. Capture tool: Phone camera (in app). Each submission is reviewed against the task brief; submissions that break the capture rules are rejected. 99%+ passed QA review. Files are delivered as MP4 / MOV, in the resolution noted above.
Who are the source data producers?
Kled contributors, who complete paid data tasks on their own phones. This task was open to contributors worldwide. Kled has 625,000+ contributors in 100+ countries, strongest in Southeast Asia, the United States and Europe.
Annotations
Annotation process
No annotations are included. Items are delivered as captured; labeling on the same items can be scoped with the data team.
Who are the annotators?
Not applicable; no annotations are included.
Personal and Sensitive Information
Every item was contributed by its owner, who opted in to this use at upload. The task brief states what may and may not appear in a submission, and reviewers reject submissions that break those rules. Kled's data handling practices are documented at trust.kled.ai; questions about handling requirements for your use go to team@kled.ai.
Bias, Risks, and Limitations
Coverage follows the contributor base: strongest in Southeast Asia, the United States and Europe, thinner elsewhere, and not limited by region for this task. Devices, settings and conditions vary by contributor, which is the point of the collection and also means no two items are captured under identical conditions. Where labels are contributor-entered, they are checked at review but are not expert annotations. Volumes are the current scope of the task and grow as collection continues.
Recommendations
Request a sample set and run it against your task before licensing. Ask for per-country or per-language counts where they matter to your use.
Licensing Information
Non-exclusive commercial training license; exclusivity on request. Each contributor opted in to this use when they uploaded. The license terms are on the catalog page.
Citation
@misc{kled_slow_circle_video_around_one_object_2026,
title = {Slow Orbit Video, One Object},
author = {Kled},
year = {2026},
url = {https://www.kled.ai/datasets/slow-circle-video-around-one-object},
note = {Commercially licensed dataset collected through the Kled app. Sample sets on request.}
}
Dataset Card Contact
Kled data team: team@kled.ai
Related Kled datasets
- Downloads last month
- 14