Dataset Viewer
Auto-converted to Parquet Duplicate
Search is not available for this dataset
image
imagewidth (px)
171
640
label
class label
100 classes
000
000
000
000
000
000
000
000
000
000
000
000
000
000
000
000
000
000
000
000
000
000
000
000
000
000
000
000
000
000
000
000
000
000
000
000
000
000
000
000
000
000
000
000
000
000
000
000
000
000
000
000
000
000
000
000
000
000
000
000
000
000
000
000
000
000
000
000
000
000
000
000
000
000
000
000
000
000
000
000
000
000
000
000
000
000
000
000
000
000
000
000
000
000
000
000
000
000
000
000
End of preview. Expand in Data Studio

RefStuff

This release contains two COCO 2014-derived splits for visual grounding with reference-style horizontal rows of repeated non-person objects.

Layout

  • coco2014_candidates_4to8_unfiltered/: 15,577 candidate images. Each has one selected non-person COCO category with 4-8 annotated instances.
  • strict_ready_131/: 131 visually screened samples with complete grounding annotations. Every item passed whole-image row screening and individual crop validation.

Strict grounding format

strict_ready_131/grounding.jsonl is the final annotation file. Each record includes the source image, target category, COCO instance IDs, visual row assignment, crop checks, and per-instance Chinese reference text. Reference text follows this form:

从上到下第N行从左数第K个<category>

or:

从上到下第N行从右数第K个<category>

Rows are numbered from top to bottom. The left/right ordinal is selected for each instance according to its side of the assigned horizontal row.

Provenance

Images and instance metadata originate from COCO 2014. The unfiltered split is a candidate pool, not a final-quality row dataset. The strict split is the screened subset intended for grounding use.

Downloads last month
178