File size: 2,834 Bytes
5332612
 
96d6a1a
 
 
 
 
 
 
1e920f7
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
5332612
96d6a1a
03070de
96d6a1a
 
03070de
0dab72f
03070de
96d6a1a
 
 
 
 
 
 
 
 
 
 
 
 
 
03070de
 
 
96d6a1a
 
 
03070de
 
 
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
---
license: cc-by-nc-nd-4.0
task_categories:
- image-segmentation
- image-classification
language:
- en
tags:
- code
dataset_info:
  features:
  - name: image_id
    dtype: int32
  - name: image
    dtype: image
  - name: mask
    dtype: image
  - name: annotations
    dtype: string
  splits:
  - name: train
    num_bytes: 614230158
    num_examples: 100
  download_size: 580108296
  dataset_size: 614230158
---

# Cars Tracking & Object Detection dataset
The collection of overhead video frames, capturing various types of vehicles traversing a roadway. The dataset inculdes light vehicles (cars) and heavy vehicles (minivan).

# 💴 For Commercial Usage: To discuss your requirements, learn about the price and buy the dataset, leave a request on **[TrainingData](https://trainingdata.pro/datasets/object-tracking?utm_source=huggingface&utm_medium=cpc&utm_campaign=cars-video-object-tracking)** to buy the dataset

![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F12421376%2Fc50e63ecc2a097fa0b10b3e2667e2014%2Fgif_2_mb.gif?generation=1690705431907738&alt=media)

# Data Format 
Each video frame from `images` folder is paired with an `annotations.xml` file that meticulously defines the tracking of each vehicle using polygons. 
These annotations not only specify the location and path of each vehicle but also differentiate between the vehicle classes: 
- cars,
- minivans.

The data labeling is visualized in the `boxes` folder.

# Example of the XML-file 
![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F12421376%2F459d6e7b97447fc34be0536edd200a7e%2Fcode.png?generation=1687370800622505&alt=media)

# Object tracking is made in accordance with your requirements.

# 💴 Buy the Dataset: This is just an example of the data. Leave a request on **[https://trainingdata.pro/datasets](https://trainingdata.pro/datasets/object-tracking?utm_source=huggingface&utm_medium=cpc&utm_campaign=cars-video-object-tracking)** to discuss your requirements, learn about the price and buy the dataset

# **[TrainingData](https://trainingdata.pro/datasets/object-tracking?utm_source=huggingface&utm_medium=cpc&utm_campaign=cars-video-object-tracking)** provides high-quality data annotation tailored to your needs

More datasets in TrainingData's Kaggle account: **https://www.kaggle.com/trainingdatapro/datasets**

TrainingData's GitHub: **https://github.com/Trainingdata-datamarket/TrainingData_All_datasets**

*keywords: vehicle tracking algorithm, vehicle tracking dataset, object detection for self driving cars, object detection for autonomous vehicles, multiple-object vehicle tracking, car object detection dataset, vehicle image dataset, car object tracking dataset, multi-object tracking dataset, labeled web tracking dataset, large-scale object tracking dataset*