Household Objects Multi-Angle Image Dataset
Everyday objects photographed from many angles, distances and lighting conditions in real homes, for robotics and AR.
On request: this dataset is collected to your specification after you order. Typically 2–4 weeks depending on number of object classes.
Pricing
Fixed prices for standard bundles, collected to your spec. Pick a package and a license to see the exact total, or ask for a custom quote.
| Feature | Starter | Pro | Custom |
|---|---|---|---|
| Images | 500 | 2,000 | Any quantity |
| Metadata and topic labels | ✓Included | ✓Included | ✓Included |
| Human-written captions | –Not included | ✓Included | Optional |
| Boxes, masks, transcriptions | –Not included | –Not included | Optional |
| Datasheet, license, checksums | ✓Included | ✓Included | ✓Included |
| Research license | $490$0.98 / image | $1,490$0.75 / image | Quote |
| Commercial license | $1,250$2.50 / image | $3,900$1.95 / image | Quote |
| Exclusive license | $4,900$9.80 / image | $14,900$7.45 / image | Quote |
How ordering works
- 1Choose a package and license, then pay a 50% deposit at checkout.
- 2Within 48 hours we confirm the spec and send 10–20 sample photos before full collection.
- 3We collect and deliver in parts so you can review early. Typically 2–4 weeks depending on number of object classes.
- 4Pay the balance and download the final bundle.
Custom quote
Need another quantity, an Enterprise license or annotations for this topic? Available here:
- Object class labels
- Object instance IDs across views
- Bounding boxes or masks
Overview
Home robots and AR assistants must recognise cups, cables, remotes and laundry in cluttered rooms under changing light. Lab-captured object datasets rarely show this mess.
This dataset photographs everyday objects in real homes, systematically varying angle, distance, lighting and clutter so models learn objects rather than backgrounds.
Sample photos
Real photos from this topic, shown at reduced resolution. Full-resolution samples are emailed on request.
Real sample photos for this topic are being prepared.
We only show photos we captured ourselves, never stock or AI-generated images. Request samples below and we will email you photos that match your requirements.
Get free full-resolution samples
We email you a sample pack for this topic.
Technical specifications
- Capture device
- Modern smartphones (device model recorded per image in EXIF)
- File format
- JPEG (original HEIC/RAW on request)
- Resolution
- Native sensor resolution, typically 12 MP or higher
- Capture protocol
- Multiple angles, distances and light conditions per object
- Environments
- Kitchens, living rooms, bedrooms, desks, bathrooms
- Metadata
- metadata.jsonl with device, exposure, timestamp, dimensions, topic labels
- Privacy processing
- Faces and license plates blurred, GPS removed
- License
- Research, Commercial, Enterprise or Exclusive
Use cases
Robot perception & grasping
Train object recognition for home and service robots operating in cluttered spaces.
Augmented reality
Improve object anchoring and recognition for AR apps.
Visual search
Recognise products and objects from casual phone photos.
Robustness testing
Evaluate how models behave across viewpoint and lighting changes for the same object.
How this data is collected
- 1Captured on a smartphone by a person
- 2Duplicates and near-duplicates removed
- 3Blurry and broken images filtered out
- 4Faces and license plates detected and blurred
- 5Every image reviewed by a person
- 6GPS stripped; device EXIF kept
- 7Labels, captions and metadata.jsonl generated
- 8Datasheet and license packaged with the delivery
Provenance & legal
- 100% captured by people: no scraping, no generative AI
- Datasheet documenting collection, processing and limitations
- Commercial license that lets you keep models trained on the data
- Supports training-data documentation under the EU AI Act
Topic-specific notes
- • Photos are taken in homes with the owner's consent.
- • Personal documents, screens and family photos in frame are blurred or excluded.
- • No people appear in the images.
Example metadata record
One line of metadata.jsonl per image. Fields vary with the annotation options you choose; values shown are illustrative.
{
"id": "hho-001204",
"file": "images/hho-001204.jpg",
"topic": "household-objects",
"object_class": "mug",
"instance_id": "mug-017",
"view": {
"angle_deg": 135,
"distance": "near"
},
"lighting": "window-daylight",
"environment": "kitchen-counter",
"device": {
"make": "Apple",
"model": "iPhone 15"
},
"width": 4032,
"height": 3024
}Each delivery contains:
household-objects-multiview-v1/ ├── images/ ├── metadata.jsonl ├── DATASHEET.md ├── LICENSE.pdf └── checksums.sha256
Frequently asked questions
Can we provide our own object list?
Yes. Send the classes and number of views per object and we will quote accordingly.
Do multiple images of the same object share an ID?
Yes, on request we track object instances across all views so you can train multi-view or re-identification models.
How does payment work for a bundle?
You pay a 50% deposit at checkout and the balance when we deliver the final bundle. Free sample photos are available above before you order, and the deposit is refunded in full if we cannot deliver the agreed spec.
Why is a bundle so much cheaper per image than a single image?
A bundle is planned and collected as one job, so capture, review and privacy processing cost far less per photo. Single images are priced for buyers who need just a few specific photos.
What is the difference between non-exclusive and Exclusive?
With Research or Commercial we may license the photos collected for your order to other buyers later. With Exclusive they are never licensed to anyone else or added to our catalog.
Can I order a different quantity or extra annotations?
Yes. Request a custom quote with the quantity, annotations and deadline you need. Prices per image fall as quantity grows.
Need a variation?
Different angles, lighting, locations, quantity or labels? Describe it and we reply within 48 hours with matching samples and a quote.
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