Datasets › TDIUC
TDIUC (Task Directed Image Understanding Challenge)
Task Directed Image Understanding Challenge (TDIUC) dataset is a Visual Question Answering dataset which consists of 1.6M questions and 170K images sourced from MS COCO and the Visual Genome Dataset. The image-question pairs are split into 12 categories and 4 additional evaluation matrices which help evaluate models’ robustness against answer imbalance and its ability to answer questions that require higher reasoning capability. The TDIUC dataset divides the VQA paradigm into 12 different task directed question types. These include questions that require a simpler task (e.g., object presence, color attribute) and more complex tasks (e.g., counting, positional reasoning). The dataset includes also an “Absurd” question category in which questions are irrelevant to the image contents to help balance the dataset.
Source: Question-Agnostic Attention for Visual Question Answering Image Source: https://kushalkafle.com/projects/tdiuc.html
Benchmarks archive 2025-07-28
All 1 leaderboard 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 | ||||
|---|---|---|---|---|---|---|
| Visual Question Answering (VQA) | TDIUC | Accuracy Accuracy 88.2 | MUREL: Multimodal Relational Reasoning for Visual... | Cadene/murel.bootstrap.pytorch | 2 | Compare |
Papers archive 2025-07-28
2 shown of 2 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 39. 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 | |||
|---|---|---|---|---|
| Compact Trilinear Interaction for Visual Question Answering | 1 | 1 | 26 Sep 2019 | ran 1 of 5 samples (4 unverified) |
| MUREL: Multimodal Relational Reasoning for Visual Question Answering | 1 | 1 | 25 Feb 2019 | not harvested |
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
License archive 2025-07-28
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Modalities archive 2025-07-28
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- TDIUC
1 variant name, as the archive lists them.
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