Datasets:

iLearn-Lab
/

MM26-ADGNet-AITIR-Text

Languages:

English

Tags:

infrared-small-target-detection

multimodal

vision-language

text-annotations

License:

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xet

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The dataset viewer is not available for this split.

Cannot load the dataset split (in streaming mode) to extract the first rows.

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
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000004: string
000005: string
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000007: string
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000149: string
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000154: string
000158: string
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000165: string
000168: string
000171: string
000172: string
000174: string
000175: string
000177: string
000179: string
000180: string

...
 string
XDU224: string
XDU208: string
XDU699: string
XDU197: string
XDU296: string
XDU628: string
XDU910: string
XDU102: string
XDU57: string
XDU513: string
XDU125: string
XDU849: string
XDU890: string
XDU524: string
XDU664: string
XDU345: string
XDU676: string
XDU502: string
XDU417: string
XDU17: string
XDU916: string
XDU366: string
XDU467: string
XDU68: string
XDU871: string
XDU500: string
XDU305: string
XDU255: string
XDU587: string
XDU593: string
XDU238: string
XDU765: string
XDU760: string
XDU470: string
XDU411: string
XDU720: string
XDU135: string
XDU480: string
XDU707: string
XDU304: string
XDU427: string
XDU448: string
XDU703: string
XDU921: string
XDU529: string
XDU361: string
XDU861: string
XDU931: string
XDU539: string
XDU173: string
XDU473: string
XDU74: string
XDU771: string
XDU887: string
XDU635: string
XDU656: string
XDU227: string
XDU992: string
XDU220: string
XDU611: string
XDU29: string
XDU228: string
XDU261: string
XDU372: string
XDU780: string
XDU271: string
XDU18: string
XDU727: string
XDU339: string
XDU477: string
XDU826: string
XDU351: string
XDU325: string
XDU752: string
XDU990: string
XDU368: string
XDU148: string
XDU804: string
XDU190: string
XDU609: string
XDU214: string
XDU113: string
XDU107: string
XDU719: string
XDU749: string
XDU750: string
XDU778: string
XDU815: string
XDU277: string
XDU884: string
XDU405: string
XDU174: string
XDU738: string
XDU96: string
XDU532: string
XDU230: string
XDU425: string
XDU534: string
XDU571: string
XDU251: string
to
{'XDU1': Value('string'), 'XDU0': Value('string'), 'XDU100': Value('string'), 'XDU1000': Value('string'), 'XDU101': Value('string'), 'XDU105': Value('string'), 'XDU102': Value('string'), 'XDU106': Value('string'), 'XDU107': Value('string'), 'XDU109': Value('string'), 'XDU11': Value('string'), 'XDU112': Value('string'), 'XDU113': Value('string'), 'XDU114': Value('string'), 'XDU116': Value('string'), 'XDU118': Value('string'), 'XDU119': Value('string'), 'XDU12': Value('string'), 'XDU120': Value('string'), 'XDU121': Value('string'), 'XDU122': Value('string'), 'XDU123': Value('string'), 'XDU124': Value('string'), 'XDU125': Value('string'), 'XDU126': Value('string'), 'XDU127': Value('string'), 'XDU128': Value('string'), 'XDU130': Value('string'), 'XDU13': Value('string'), 'XDU131': Value('string'), 'XDU132': Value('string'), 'XDU135': Value('string'), 'XDU133': Value('string'), 'XDU136': Value('string'), 'XDU137': Value('string'), 'XDU139': Value('string'), 'XDU138': Value('string'), 'XDU14': Value('string'), 'XDU140': Value('string'), 'XDU141': Value('string'), 'XDU143': Value('string'), 'XDU144': Value('string'), 'XDU145': Value('string'), 'XDU148': Value('string'), 'XDU149': Value('string'), 'XDU15': Value('string'), 'XDU150': Value('string'), 'XDU153': Value('string'), 'XDU152': Value('string'), 'XDU154': Value('string'), 'XDU155': Value('string'), 'XDU156': Value('string'), 'XDU157': Value('string'), 'XDU158': Value('string'), 'XDU159': Value('string'), 'XDU16': Value('string
...
': Value('string'), 'XDU940': Value('string'), 'XDU941': Value('string'), 'XDU942': Value('string'), 'XDU944': Value('string'), 'XDU945': Value('string'), 'XDU946': Value('string'), 'XDU947': Value('string'), 'XDU948': Value('string'), 'XDU949': Value('string'), 'XDU95': Value('string'), 'XDU950': Value('string'), 'XDU951': Value('string'), 'XDU952': Value('string'), 'XDU953': Value('string'), 'XDU956': Value('string'), 'XDU958': Value('string'), 'XDU959': Value('string'), 'XDU96': Value('string'), 'XDU960': Value('string'), 'XDU961': Value('string'), 'XDU962': Value('string'), 'XDU963': Value('string'), 'XDU964': Value('string'), 'XDU965': Value('string'), 'XDU967': Value('string'), 'XDU969': Value('string'), 'XDU970': Value('string'), 'XDU971': Value('string'), 'XDU973': Value('string'), 'XDU972': Value('string'), 'XDU974': Value('string'), 'XDU976': Value('string'), 'XDU975': Value('string'), 'XDU977': Value('string'), 'XDU978': Value('string'), 'XDU979': Value('string'), 'XDU98': Value('string'), 'XDU980': Value('string'), 'XDU981': Value('string'), 'XDU982': Value('string'), 'XDU983': Value('string'), 'XDU984': Value('string'), 'XDU985': Value('string'), 'XDU986': Value('string'), 'XDU987': Value('string'), 'XDU988': Value('string'), 'XDU989': Value('string'), 'XDU99': Value('string'), 'XDU990': Value('string'), 'XDU991': Value('string'), 'XDU992': Value('string'), 'XDU993': Value('string'), 'XDU994': Value('string'), 'XDU995': Value('string'), 'XDU998': Value('string')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 149, in get_rows_or_raise
                  return get_rows(
                      dataset=dataset,
                  ...<4 lines>...
                      column_names=column_names,
                  )
                File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
                  return func(*args, **kwargs)
                File "/src/services/worker/src/worker/utils.py", line 129, in get_rows
                  rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
                File "/src/services/worker/src/worker/utils.py", line 489, in safe_iter
                  yield from ds.decode(False) if ds.features else ds
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2818, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              000002: string
              000004: string
              000005: string
              000006: string
              000007: string
              000008: string
              000013: string
              000014: string
              000017: string
              000018: string
              000024: string
              000029: string
              000028: string
              000030: string
              000031: string
              000033: string
              000034: string
              000035: string
              000037: string
              000039: string
              000042: string
              000040: string
              000044: string
              000048: string
              000049: string
              000050: string
              000052: string
              000054: string
              000056: string
              000057: string
              000058: string
              000061: string
              000063: string
              000064: string
              000065: string
              000066: string
              000068: string
              000069: string
              000070: string
              000072: string
              000073: string
              000074: string
              000077: string
              000078: string
              000079: string
              000082: string
              000083: string
              000085: string
              000087: string
              000088: string
              000089: string
              000094: string
              000095: string
              000096: string
              000097: string
              000098: string
              000099: string
              000101: string
              000102: string
              000103: string
              000104: string
              000105: string
              000108: string
              000109: string
              000114: string
              000115: string
              000116: string
              000117: string
              000118: string
              000119: string
              000121: string
              000123: string
              000125: string
              000126: string
              000129: string
              000130: string
              000132: string
              000134: string
              000136: string
              000139: string
              000143: string
              000145: string
              000146: string
              000147: string
              000149: string
              000152: string
              000154: string
              000158: string
              000160: string
              000161: string
              000164: string
              000165: string
              000168: string
              000171: string
              000172: string
              000174: string
              000175: string
              000177: string
              000179: string
              000180: string
              
              ...
               string
              XDU224: string
              XDU208: string
              XDU699: string
              XDU197: string
              XDU296: string
              XDU628: string
              XDU910: string
              XDU102: string
              XDU57: string
              XDU513: string
              XDU125: string
              XDU849: string
              XDU890: string
              XDU524: string
              XDU664: string
              XDU345: string
              XDU676: string
              XDU502: string
              XDU417: string
              XDU17: string
              XDU916: string
              XDU366: string
              XDU467: string
              XDU68: string
              XDU871: string
              XDU500: string
              XDU305: string
              XDU255: string
              XDU587: string
              XDU593: string
              XDU238: string
              XDU765: string
              XDU760: string
              XDU470: string
              XDU411: string
              XDU720: string
              XDU135: string
              XDU480: string
              XDU707: string
              XDU304: string
              XDU427: string
              XDU448: string
              XDU703: string
              XDU921: string
              XDU529: string
              XDU361: string
              XDU861: string
              XDU931: string
              XDU539: string
              XDU173: string
              XDU473: string
              XDU74: string
              XDU771: string
              XDU887: string
              XDU635: string
              XDU656: string
              XDU227: string
              XDU992: string
              XDU220: string
              XDU611: string
              XDU29: string
              XDU228: string
              XDU261: string
              XDU372: string
              XDU780: string
              XDU271: string
              XDU18: string
              XDU727: string
              XDU339: string
              XDU477: string
              XDU826: string
              XDU351: string
              XDU325: string
              XDU752: string
              XDU990: string
              XDU368: string
              XDU148: string
              XDU804: string
              XDU190: string
              XDU609: string
              XDU214: string
              XDU113: string
              XDU107: string
              XDU719: string
              XDU749: string
              XDU750: string
              XDU778: string
              XDU815: string
              XDU277: string
              XDU884: string
              XDU405: string
              XDU174: string
              XDU738: string
              XDU96: string
              XDU532: string
              XDU230: string
              XDU425: string
              XDU534: string
              XDU571: string
              XDU251: string
              to
              {'XDU1': Value('string'), 'XDU0': Value('string'), 'XDU100': Value('string'), 'XDU1000': Value('string'), 'XDU101': Value('string'), 'XDU105': Value('string'), 'XDU102': Value('string'), 'XDU106': Value('string'), 'XDU107': Value('string'), 'XDU109': Value('string'), 'XDU11': Value('string'), 'XDU112': Value('string'), 'XDU113': Value('string'), 'XDU114': Value('string'), 'XDU116': Value('string'), 'XDU118': Value('string'), 'XDU119': Value('string'), 'XDU12': Value('string'), 'XDU120': Value('string'), 'XDU121': Value('string'), 'XDU122': Value('string'), 'XDU123': Value('string'), 'XDU124': Value('string'), 'XDU125': Value('string'), 'XDU126': Value('string'), 'XDU127': Value('string'), 'XDU128': Value('string'), 'XDU130': Value('string'), 'XDU13': Value('string'), 'XDU131': Value('string'), 'XDU132': Value('string'), 'XDU135': Value('string'), 'XDU133': Value('string'), 'XDU136': Value('string'), 'XDU137': Value('string'), 'XDU139': Value('string'), 'XDU138': Value('string'), 'XDU14': Value('string'), 'XDU140': Value('string'), 'XDU141': Value('string'), 'XDU143': Value('string'), 'XDU144': Value('string'), 'XDU145': Value('string'), 'XDU148': Value('string'), 'XDU149': Value('string'), 'XDU15': Value('string'), 'XDU150': Value('string'), 'XDU153': Value('string'), 'XDU152': Value('string'), 'XDU154': Value('string'), 'XDU155': Value('string'), 'XDU156': Value('string'), 'XDU157': Value('string'), 'XDU158': Value('string'), 'XDU159': Value('string'), 'XDU16': Value('string
              ...
              ': Value('string'), 'XDU940': Value('string'), 'XDU941': Value('string'), 'XDU942': Value('string'), 'XDU944': Value('string'), 'XDU945': Value('string'), 'XDU946': Value('string'), 'XDU947': Value('string'), 'XDU948': Value('string'), 'XDU949': Value('string'), 'XDU95': Value('string'), 'XDU950': Value('string'), 'XDU951': Value('string'), 'XDU952': Value('string'), 'XDU953': Value('string'), 'XDU956': Value('string'), 'XDU958': Value('string'), 'XDU959': Value('string'), 'XDU96': Value('string'), 'XDU960': Value('string'), 'XDU961': Value('string'), 'XDU962': Value('string'), 'XDU963': Value('string'), 'XDU964': Value('string'), 'XDU965': Value('string'), 'XDU967': Value('string'), 'XDU969': Value('string'), 'XDU970': Value('string'), 'XDU971': Value('string'), 'XDU973': Value('string'), 'XDU972': Value('string'), 'XDU974': Value('string'), 'XDU976': Value('string'), 'XDU975': Value('string'), 'XDU977': Value('string'), 'XDU978': Value('string'), 'XDU979': Value('string'), 'XDU98': Value('string'), 'XDU980': Value('string'), 'XDU981': Value('string'), 'XDU982': Value('string'), 'XDU983': Value('string'), 'XDU984': Value('string'), 'XDU985': Value('string'), 'XDU986': Value('string'), 'XDU987': Value('string'), 'XDU988': Value('string'), 'XDU989': Value('string'), 'XDU99': Value('string'), 'XDU990': Value('string'), 'XDU991': Value('string'), 'XDU992': Value('string'), 'XDU993': Value('string'), 'XDU994': Value('string'), 'XDU995': Value('string'), 'XDU998': Value('string')}
              because column names don't match

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📝 AITIR: Asymmetric Image-Text Infrared Text Annotations

Official asymmetric text annotations for infrared small target detection.

📖 Description

This repository provides the official asymmetric text annotations used to construct the Asymmetric Image-Text Infrared (AITIR) dataset introduced in:

ADGNet: Asymmetric Dual-text Guided Network for Infrared Small Target Detection, accepted by ACM Multimedia 2026.

The released annotations cover three infrared small target detection datasets:

IRSTD-1K
NUDT-SIRST
SIRST

This repository contains text annotations only. The original infrared images and ground-truth masks are not included.

🏷️ Annotation Design

Each infrared image is associated with two asymmetric text prompts.

Fixed Target Prompt

A concise and image-independent target prompt is shared across all images:

an infrared image featuring one or multiple target

Detailed Background Prompt

Each image is assigned an image-dependent background prompt following the template:

an infrared [S] image with [C]

where:

[S] describes the global infrared scene.
[C] describes local structures, thermal clutter, and potential distractors.

Example:

an infrared cloudy sky image with faint dark cloud structures and bright illuminated building tops

📊 Annotation Coverage

Dataset	Fixed Target Prompt	Detailed Background Prompt
IRSTD-1K	✓	✓
NUDT-SIRST	✓	✓
SIRST	✓	✓

📁 Repository Structure

The asymmetric text annotations are organized by dataset and data split:

MM26-ADGNet-AITIR-Text/
├── IRSTD-1K/
│   └── text/
│       ├── train_fg.json
│       ├── train_bg.json
│       ├── test_fg.json
│       └── test_bg.json
├── NUDT-SIRST/
│   └── text/
│       ├── train_fg.json
│       ├── train_bg.json
│       ├── test_fg.json
│       └── test_bg.json
└── SIRST/
    └── text/
        ├── train_fg.json
        ├── train_bg.json
        ├── test_fg.json
        └── test_bg.json

🧾 Annotation Files

Each dataset contains four JSON annotation files:

File	Description
`train_fg.json`	Target prompts for the training split
`train_bg.json`	Detailed background prompts for the training split
`test_fg.json`	Target prompts for the testing split
`test_bg.json`	Detailed background prompts for the testing split

Here, fg denotes the foreground or target prompt, while bg denotes the detailed background prompt.

🚀 Usage

Download the annotations and place the corresponding JSON files under the text/ directory of each original dataset:

datasets/
├── IRSTD-1K/
│   ├── images/
│   ├── masks/
│   ├── img_idx/
│   └── text/
│       ├── train_fg.json
│       ├── train_bg.json
│       ├── test_fg.json
│       └── test_bg.json
├── NUDT-SIRST/
│   ├── images/
│   ├── masks/
│   ├── img_idx/
│   └── text/
│       ├── train_fg.json
│       ├── train_bg.json
│       ├── test_fg.json
│       └── test_bg.json
└── SIRST/
    ├── images/
    ├── masks/
    ├── img_idx/
    └── text/
        ├── train_fg.json
        ├── train_bg.json
        ├── test_fg.json
        └── test_bg.json

The JSON entries correspond to the samples in the respective training or testing split. Please keep the provided filenames and directory structure unchanged when using them with the official ADGNet implementation.

⚠️ Notes

This repository provides text annotations only.
The original infrared images and ground-truth masks must be obtained separately.
The annotations are written in English.
Users must comply with the licenses and terms of use of the original datasets.
Annotation filenames must match the corresponding infrared image filenames.

📚 Citation

If you find this project useful in your research, please consider citing our paper:

Please also consider checking out and citing our other related work:

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