README.md

metadata

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-.