| --- |
| pretty_name: "Pick-and-Place Video" |
| license: other |
| license_name: kled-commercial-training-license |
| license_link: https://www.kled.ai/datasets/object-transfer-between-surfaces |
| task_categories: |
| - video-classification |
| - robotics |
| tags: |
| - kled |
| - commercial-license |
| - consented-data |
| - human-collected |
| - sample-on-request |
| - video |
| - tools-in-use |
| - phone-capture |
| - global |
| - raw |
| - robotics |
| - manipulation |
| size_categories: |
| - 100K<n<1M |
| annotations_creators: |
| - no-annotation |
| language_creators: |
| - crowdsourced |
| source_datasets: |
| - original |
| viewer: false |
| gated: manual |
| extra_gated_heading: "Request a sample set of Pick-and-Place Video" |
| extra_gated_prompt: "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." |
| extra_gated_fields: |
| Company or lab: text |
| Role: text |
| What are you building: text |
| Volume you need: |
| type: select |
| options: |
| - Sample set only |
| - Under 10,000 items |
| - 10,000 to 100,000 items |
| - 100,000 or more items |
| - Full dataset |
| - Custom collection on the Kled contributor base |
| I agree to be contacted by Kled about this request: checkbox |
| extra_gated_button_content: "Request a sample set" |
| extra_gated_description: "Prefer email? Write to team@kled.ai with the dataset name in the subject line." |
| --- |
| # Dataset Card for Pick-and-Place Video |
|
|
| <p align="center"><img src="https://images.unsplash.com/photo-1560184387-2404714bc570?w=1920&q=80" alt="Pick-and-Place Video" width="520"></p> |
|
|
| > Hands picking up everyday objects and setting them down on tables, shelves and counters in real homes. Raw video. |
|
|
| 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](mailto:team@kled.ai). Catalog entry: [kled.ai/datasets/object-transfer-between-surfaces](https://www.kled.ai/datasets/object-transfer-between-surfaces?utm_source=huggingface&utm_medium=dataset_card&utm_campaign=object-transfer-between-surfaces). |
|
|
| ## Dataset Details |
|
|
| ### Dataset Description |
|
|
| Pick-and-place is the first primitive every manipulation policy learns; these clips come from homes: hands lifting objects and placing them on another surface, framed on hands and environment with faces out of frame. Objects, grasps, surfaces and camera positions vary by contributor, so the set is wide, not deep: a long tail of objects and placements from households on three continents. The viewpoint is third-person and changes from clip to clip; it complements head-mounted footage. No pose, grasp or trajectory labels ship with the set. It carries a commercial license that EPIC-KITCHENS (CC BY-NC) and EgoDex (CC BY-NC-ND) cannot grant. |
|
|
| - **Curated by:** Kled ([useKled](https://huggingface.co/useKled)) |
| - **Collected through:** Phone camera or uploads |
| - **Regions:** Global, 100+ countries |
| - **Volume:** 100,000+ clips (approx. 12 TB) |
| - **Contributors:** 12,000+ |
| - **Modality:** Video |
| - **Format:** MP4 / MOV |
| - **Resolution:** 720p to 4K as recorded, 30 fps typical (MP4, MOV) |
| - **Annotations:** Raw (no labels) |
| - **Quality control:** 98% passed QA review |
| - **License:** Non-exclusive commercial training license ([terms](https://www.kled.ai/datasets/object-transfer-between-surfaces?utm_source=huggingface&utm_medium=dataset_card&utm_campaign=object-transfer-between-surfaces)); exclusivity available on request |
| - **Consent:** Each contributor opted in to this use when they uploaded. |
|
|
| ### Dataset Sources |
|
|
| - **Catalog page:** [kled.ai/datasets/object-transfer-between-surfaces](https://www.kled.ai/datasets/object-transfer-between-surfaces?utm_source=huggingface&utm_medium=dataset_card&utm_campaign=object-transfer-between-surfaces) |
| - **Sample set:** through the access request at the top of this page, or [team@kled.ai](mailto:team@kled.ai) |
| - **Publisher:** [huggingface.co/useKled](https://huggingface.co/useKled) |
|
|
| ## Uses |
|
|
| ### Direct Use |
|
|
| - Pick-and-place policy pretraining |
| - Learning from human demonstration video |
| - Placement prediction |
|
|
| ### 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: 100,000+ 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 (98% 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 or uploads. Each submission is reviewed against the task brief; submissions that break the capture rules are rejected. 98% 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](https://trust.kled.ai/); questions about handling requirements for your use go to [team@kled.ai](mailto: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](https://www.kled.ai/datasets/object-transfer-between-surfaces?utm_source=huggingface&utm_medium=dataset_card&utm_campaign=object-transfer-between-surfaces). |
|
|
| ## Citation |
|
|
| ```bibtex |
| @misc{kled_object_transfer_between_surfaces_2026, |
| title = {Pick-and-Place Video}, |
| author = {Kled}, |
| year = {2026}, |
| url = {https://www.kled.ai/datasets/object-transfer-between-surfaces}, |
| note = {Commercially licensed dataset collected through the Kled app. Sample sets on request.} |
| } |
| ``` |
|
|
| ## Dataset Card Contact |
|
|
| Kled data team: [team@kled.ai](mailto:team@kled.ai) |
|
|
| ## Related Kled datasets |
|
|
| - [Articulated Object Video (100,000 clips)](https://huggingface.co/datasets/useKled/open-and-close-household-objects) |
| - [Slow Orbit Video, One Object (5,000 clips)](https://huggingface.co/datasets/useKled/slow-circle-video-around-one-object) |
| - [Verified Object Counts (25,000 images)](https://huggingface.co/datasets/useKled/cluttered-surfaces-for-counting) |
| - [SEA Home Cooking, One Take](https://huggingface.co/datasets/useKled/cook-a-dish-from-start-to-finish) |
|
|
