Dataset Viewer
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: KeyError
Message: "There is no item named '3DS/3DS_3ds2_00000.jpg' in the archive"
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
return get_rows(
^^^^^^^^^
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 77, in get_rows
rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2543, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2061, in __iter__
batch = formatter.format_batch(pa_table)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/formatting/formatting.py", line 472, in format_batch
batch = self.python_features_decoder.decode_batch(batch)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/formatting/formatting.py", line 234, in decode_batch
return self.features.decode_batch(batch, token_per_repo_id=self.token_per_repo_id) if self.features else batch
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 2161, in decode_batch
decode_nested_example(self[column_name], value, token_per_repo_id=token_per_repo_id)
File "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 1419, in decode_nested_example
return schema.decode_example(obj, token_per_repo_id=token_per_repo_id) if obj is not None else None
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/features/image.py", line 188, in decode_example
with xopen(path, "rb", download_config=download_config) as f:
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/utils/file_utils.py", line 977, in xopen
file_obj = fsspec.open(file, mode=mode, *args, **kwargs).open()
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/fsspec/core.py", line 135, in open
return self.__enter__()
^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/fsspec/core.py", line 103, in __enter__
f = self.fs.open(self.path, mode=mode)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/fsspec/spec.py", line 1293, in open
f = self._open(
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/fsspec/implementations/zip.py", line 129, in _open
out = self.zip.open(path, mode.strip("b"), force_zip64=self.force_zip_64)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/zipfile/__init__.py", line 1608, in open
zinfo = self.getinfo(name)
^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/zipfile/__init__.py", line 1536, in getinfo
raise KeyError(
KeyError: "There is no item named '3DS/3DS_3ds2_00000.jpg' in the archive"Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Screen Scene Recognition Dataset for Display Chip
Dataset Description
This dataset is specifically designed for edge-side AI model development of display chips, targeting real-time recognition of 22 types of screen scenes. It addresses the pain points of missing public datasets, high category similarity, and poor data quality in screen scene recognition tasks, providing high-quality labeled data for algorithm research and engineering deployment.
Overview
- Total Samples: 53,438 high-quality cleaned images
- Number of Categories: 22 distinct screen scenes
- Average Samples per Category: ~2,429
- Image Quality: All images are processed to remove black borders, duplicate samples (via hash algorithm), and other quality issues
Dataset Structure
Categories & Labels
| Label ID | Category Name |
|---|---|
| 0 | 3DS |
| 1 | Anime |
| 2 | Apex |
| 3 | CF |
| 4 | CSGO |
| 5 | DeltaForce |
| 6 | Dota2 |
| 7 | FJWJ |
| 8 | Face |
| 9 | Forza |
| 10 | Genshin |
| 11 | Kart |
| 12 | LOL |
| 13 | Landscape |
| 14 | Overwatch |
| 15 | PPT |
| 16 | PS |
| 17 | PUBG |
| 18 | QQspeed |
| 19 | Sport |
| 20 | Word |
| 21 | yanyun |
Data Splits
- Full Dataset: 53,438 samples (no predefined train/val/test splits; users are recommended to split according to their own needs)
Data Collection & Preprocessing
Data Sources
- Game Scenes: Filtered from Roboflow screen target detection datasets (labels removed) and manually captured gameplay footage
- Office/Productivity: Manually captured via screen recording (Word, PPT, PS, etc.)
- Other Scenes: Collected from public datasets and manual screen captures
Preprocessing Steps
- Black Border Removal: Cropped invalid black border areas to focus on valid screen content
- Deduplication: Used hash algorithm to eliminate duplicate images
- Class Balance: Applied targeted data augmentation and class weight assignment for imbalanced categories
- Quality Control: Manual cleaning of low-quality/blurry images
Usage
This dataset is suitable for:
- Research and training of screen scene classification models for edge devices
- Performance comparison of lightweight CNN models (ResNet18, MobileNetV2) on edge AI tasks
- Engineering optimization of display chip-side real-time scene recognition
License
Apache License 2.0
Citation
If you use this dataset in your research, please cite: @dataset {screen_scene_recognition_2026, author = {amazingtrash}, title = {Screen Scene Recognition Dataset for Display Chip}, year = {2026}, url = {https://huggingface.co/datasets/amazingtrash/scenario-recognition-for-display}, license = {Apache-2.0}}
Contact
For questions about the dataset, please contact: 2350222@tongji.edu.cn
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