Abnik/spotdiff-v1-dev
SpotDiff v1 Development Dataset SpotDiff is a visual spot-the-difference benchmark. Each item is one composite image containing two nearly identical panels. A model receives the complete image and identifies every visible difference using structured JSON. This is the public development release. It contains 10 reviewed images and 61 gold differences. The annotations are intentionally public so that anyone can reproduce the evaluator locally and inspect the benchmark design.… See the full description on the dataset page: https://huggingface.co/datasets/Abnik/spotdiff-v1-dev.
SpotDiff v1 Development Dataset
SpotDiff is a visual spot-the-difference benchmark. Each item is one composite image containing two nearly identical panels. A model receives the complete image and identifies every visible difference using structured JSON.
This is the public development release. It contains 10 reviewed images and 61 gold differences. The annotations are intentionally public so that anyone can reproduce the evaluator locally and inspect the benchmark design.
Layout
data/images/: composite images with both panelsdata/annotations/: approved golden structured differencesdata/manifest.json: item IDs, image paths, and annotation pathsdata/dataset_version.json: release metadatadata/viewer/spotdiff_v1_dev.jsonl: one uniform viewer row per difference
Evaluation
Install the evaluator from GitHub, or run it from a checkout:
pip install -e .
spotdiff evaluate \
--manifest data/manifest.json \
--predictions predictions/your-model.jsonThe official development score is deterministic:
0.60 * recall + 0.25 * precision + 0.15 * attribute_accuracyBecause this is a development benchmark, the answers are public and results are suitable for reproducibility and community-reported comparisons. They are not a hidden-test leaderboard result.
Image rights
Before publishing this dataset, the dataset maintainer must confirm that the source images may be redistributed. The other license marker is deliberate until the image provenance and license are documented.
