Object Removal Sequences (10,000 sequences)

Object Removal Sequences (10,000 sequences)

IMAGE

COMMERCIAL

LABELED

The phone is propped so it cannot move. Five or more objects go on a table; one is removed and named between each of five frames. Sequences where the camera moved, two objects left at once or a removal went unnamed are rejected, one sequence per contributor. Each sequence is a four-step chain with exactly one named object leaving per step, so the decrement, not the absolute count, is ground truth, on real tables under real light, with shadows and reflections synthetic edits rarely get right. Counterfactual image pairs, identical except for one known change, are what change detection and visual reasoning evaluations want, and are rare as licensable data.

Volume

10,000+

Sequences

Contributors

10,000+

Regions

100+ countries

Updated

Technical specs

Technical specs

What’s in the collection and how it’s delivered.

Data modality

Images

Annotated

Labeled (removed object per step)

Exclusivity

Non-exclusive rights

Capture tool

Phone camera (in app)

Use cases

Change detection and difference captioning, object permanence and counterfactual reasoning, VLM evaluation

Format

JPG / PNG / HEIC

Resolution

Native phone camera resolution (JPG, PNG, HEIC)

Total volume

10,000+ sequences (approx. 150 GB)

Regions

100+ countries

Purity level

99% passed QA review

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