README.md

---
license: mit
size_categories:
- 1K<n<10K
task_categories:
- object-detection
tags:
- industry
dataset_info:
  features:
  - name: image
    dtype: image
  - name: labels
    dtype: string
  splits:
  - name: video1
    num_bytes: 4345358.918
    num_examples: 1261
  - name: video2
    num_bytes: 3923994.088
    num_examples: 1221
  - name: video3
    num_bytes: 3923444.43
    num_examples: 1221
  - name: video4
    num_bytes: 4944592.07
    num_examples: 1481
  - name: video5
    num_bytes: 4574715.249
    num_examples: 1301
  download_size: 19498138
  dataset_size: 21712104.754999995
configs:
- config_name: default
  data_files:
  - split: video1
    path: data/video1-*
  - split: video2
    path: data/video2-*
  - split: video3
    path: data/video3-*
  - split: video4
    path: data/video4-*
  - split: video5
    path: data/video5-*
---

The **IndustrialDetectionStaticCameras** dataset is divided into five primary files named `videoY`, where `Y=1,2,3,4,5`. Each `videoY` folder contains the following:
 - The video of the scene in `.mp4` format: `videoY.mp4`
 - A folder with the images of each frame of the video: `imgs_videoY` 
 - 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`

**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:

`<object_type> <truncation> <occlusion> <alpha> <left> <top> <right> <bottom> <height> <width> <length> <x> <y> <z> <rotation_y>`, 

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-.