Datasets:
File size: 2,647 Bytes
f841429 dd472da c33d539 dd472da a1a056a 8b708be f99cefc a1a056a 8b708be a1a056a 8b708be a1a056a 8b708be a1a056a 8b708be a1a056a 8b708be a1a056a 8b708be a1a056a dd472da f99cefc dd472da f99cefc dd472da f99cefc dd472da f99cefc dd472da f99cefc dd472da f99cefc dd472da f841429 c33d539 c79f25e |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 |
---
license: mit
size_categories:
- 1K<n<10K
task_categories:
- object-detection
tags:
- industry
dataset_info:
features:
- name: image
dtype: image
- name: labels
sequence:
- name: object_type
dtype: string
- name: truncation
dtype: float32
- name: occlusion
dtype: int32
- name: alpha
dtype: int32
- name: left
dtype: float32
- name: top
dtype: float32
- name: right
dtype: float32
- name: bottom
dtype: float32
- name: height
dtype: int32
- name: width
dtype: int32
- name: length
dtype: int32
- name: x
dtype: int32
- name: y
dtype: int32
- name: z
dtype: int32
- name: rotation_y
dtype: int32
splits:
- name: video1
num_bytes: 4458188.918
num_examples: 1261
- name: video2
num_bytes: 4094960.088
num_examples: 1221
- name: video3
num_bytes: 4077512.43
num_examples: 1221
- name: video4
num_bytes: 5197663.07
num_examples: 1481
- name: video5
num_bytes: 4725237.249
num_examples: 1301
download_size: 19624753
dataset_size: 22553561.754999995
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-.
### Download the dataset:
```python
from datasets import load_dataset
dataset = load_dataset("jjldo21/IndustrialDetectionStaticCameras")
``` |