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--- |
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license: mit |
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size_categories: |
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- 1K<n<10K |
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task_categories: |
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- object-detection |
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tags: |
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- industry |
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dataset_info: |
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features: |
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- name: image |
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dtype: image |
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- name: labels |
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sequence: |
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- name: object_type |
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dtype: string |
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- name: truncation |
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dtype: float32 |
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- name: occlusion |
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dtype: int32 |
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- name: alpha |
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dtype: int32 |
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- name: left |
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dtype: float32 |
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- name: top |
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dtype: float32 |
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- name: right |
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dtype: float32 |
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- name: bottom |
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dtype: float32 |
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- name: height |
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dtype: int32 |
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- name: width |
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dtype: int32 |
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- name: length |
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dtype: int32 |
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- name: x |
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dtype: int32 |
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- name: y |
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dtype: int32 |
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- name: z |
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dtype: int32 |
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- name: rotation_y |
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dtype: int32 |
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splits: |
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- name: video1 |
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num_bytes: 4458188.918 |
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num_examples: 1261 |
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- name: video2 |
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num_bytes: 4094960.088 |
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num_examples: 1221 |
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- name: video3 |
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num_bytes: 4077512.43 |
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num_examples: 1221 |
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- name: video4 |
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num_bytes: 5197663.07 |
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num_examples: 1481 |
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- name: video5 |
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num_bytes: 4725237.249 |
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num_examples: 1301 |
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download_size: 19624753 |
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dataset_size: 22553561.754999995 |
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configs: |
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- config_name: default |
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data_files: |
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- split: video1 |
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path: data/video1-* |
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- split: video2 |
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path: data/video2-* |
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- split: video3 |
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path: data/video3-* |
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- split: video4 |
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path: data/video4-* |
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- split: video5 |
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path: data/video5-* |
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--- |
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The **IndustrialDetectionStaticCameras** dataset is divided into five primary files named `videoY`, where `Y=1,2,3,4,5`. Each `videoY` folder contains the following: |
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- The video of the scene in `.mp4` format: `videoY.mp4` |
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- A folder with the images of each frame of the video: `imgs_videoY` |
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- A folder that includes for each frame a `.txt` file that holds for each labelled object a line with the annotation in kitti format: `annotations_videoY` |
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**Remark:** Each label file contains a set of lines, with each line representing the annotation for a single object in the corresponding image. The format of each line is as follows: |
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`<object_type> <truncation> <occlusion> <alpha> <left> <top> <right> <bottom> <height> <width> <length> <x> <y> <z> <rotation_y>`, |
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|
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where only the fields `<object_type>, <left>, <top>, <right>, <bottom>` and `<rotation_y>` are considered. The `<rotation_y>` field has been used to indicate whether the labelled object is a static object in the scene or not -value `1` represents that object is static and value `0` symbolizes that it is not-. |
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### Download the dataset: |
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```python |
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from datasets import load_dataset |
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dataset = load_dataset("jjldo21/IndustrialDetectionStaticCameras") |
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``` |
