Datasets › COVERAGE
COVERAGE (Copy-Move Forgery Database with Similar but Genuine Objects)
COVERAGE contains copymove forged (CMFD) images and their originals with similar but genuine objects (SGOs). COVERAGE is designed to highlight and address tamper detection ambiguity of popular methods, caused by self-similarity within natural images. In COVERAGE, forged–original pairs are annotated with (i) the duplicated and forged region masks, and (ii) the tampering factor/similarity metric. For benchmarking, forgery quality is evaluated using (i) computer vision-based methods, and (ii) human detection performance.
Source: COVERAGE
Benchmarks archive 2025-07-28
All 2 leaderboards whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.
| First row (archive order) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| Image Manipulation Localization | COVERAGE | Early Fusion Average Pixel F1(Fixed threshold) .663 | MMFusion: Combining Image Forensic Filters for Visual... | idt-iti/mmfusion-iml | 11 | Compare |
| Image Manipulation Detection | COVERAGE | Early Fusion Balanced Accuracy .770 | MMFusion: Combining Image Forensic Filters for Visual... | idt-iti/mmfusion-iml | 8 | Compare |
Papers archive 2025-07-28
8 shown of 8 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 9. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
| Date | Samples run Syntology | |||
|---|---|---|---|---|
| MMFusion: Combining Image Forensic Filters for Visual Manipulation Detection and Localization | 1 | 4 | 4 Dec 2023 | not harvested |
| TruFor: Leveraging all-round clues for trustworthy image forgery detection and localization | 0 | 2 | 21 Dec 2022 | not harvested |
| CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers | 1 | 3 | 9 Mar 2022 | ran 2 of 2 samples (0 unverified) |
| Learning JPEG Compression Artifacts for Image Manipulation Detection and Localization | 1 | 2 | 30 Aug 2021 | not harvested |
| Image Manipulation Detection by Multi-View Multi-Scale Supervision | 2 | 2 | 14 Apr 2021 | ran 9 of 13 samples (4 unverified; 13 pointer-only for licence) |
| SPAN: Spatial Pyramid Attention Network for Image Manipulation Localization | 1 | 2 | 1 Aug 2020 | not harvested |
| Constrained R-CNN: A general image manipulation detection model | 0 | 2 | 19 Nov 2019 | not harvested |
| ManTra-Net: Manipulation Tracing Network for Detection and Localization of Image Forgeries With Anomalous Features | 3 | 2 | 1 Jun 2019 | not harvested |
Dataset loaders archive 2025-07-28
1 loader as listed in the archive; links are outbound and not re-checked here.
Tasks archive 2025-07-28
License archive 2025-07-28
No licence recorded in the archive. Absence here is not a statement about the dataset's terms.
Modalities archive 2025-07-28
No modality tagged.
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- COVERAGE
1 variant name, as the archive lists them.
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections