Datasets:
image
image
| label
class label
2 classes
|
|---|---|
 | 0
(boxes) |
 | 0
(boxes) |
 | 0
(boxes) |
 | 0
(boxes) |
 | 0
(boxes) |
 | 0
(boxes) |
 | 0
(boxes) |
 | 0
(boxes) |
 | 0
(boxes) |
 | 0
(boxes) |
 | 0
(boxes) |
 | 0
(boxes) |
 | 0
(boxes) |
 | 0
(boxes) |
 | 0
(boxes) |
 | 0
(boxes) |
 | 0
(boxes) |
 | 1
(images) |
 | 1
(images) |
 | 1
(images) |
 | 1
(images) |
 | 1
(images) |
 | 1
(images) |
 | 1
(images) |
 | 1
(images) |
 | 1
(images) |
 | 1
(images) |
 | 1
(images) |
 | 1
(images) |
 | 1
(images) |
 | 1
(images) |
 | 1
(images) |
 | 1
(images) |
 | 1
(images) |
 | 0
(boxes) |
 | 0
(boxes) |
 | 0
(boxes) |
 | 0
(boxes) |
 | 0
(boxes) |
 | 0
(boxes) |
 | 0
(boxes) |
 | 0
(boxes) |
 | 0
(boxes) |
 | 0
(boxes) |
 | 1
(images) |
 | 1
(images) |
 | 1
(images) |
 | 1
(images) |
 | 1
(images) |
 | 1
(images) |
 | 1
(images) |
 | 1
(images) |
 | 1
(images) |
 | 1
(images) |
 | 0
(boxes) |
 | 0
(boxes) |
 | 0
(boxes) |
 | 0
(boxes) |
 | 0
(boxes) |
 | 0
(boxes) |
 | 0
(boxes) |
 | 0
(boxes) |
 | 0
(boxes) |
 | 0
(boxes) |
 | 0
(boxes) |
 | 0
(boxes) |
 | 0
(boxes) |
 | 1
(images) |
 | 1
(images) |
 | 1
(images) |
 | 1
(images) |
 | 1
(images) |
 | 1
(images) |
 | 1
(images) |
 | 1
(images) |
 | 1
(images) |
 | 1
(images) |
 | 1
(images) |
 | 1
(images) |
 | 1
(images) |
Products Tracking
The dataset contains frames extracted from self-checkout videos, specifically focusing on tracking products. The tracking data provides the trajectory of each product, allowing for analysis of customer movement and behavior throughout the transaction.
The dataset assists in detecting shoplifting and fraud, enhancing efficiency, accuracy, and customer experience. It facilitates the development of computer vision models for object detection, tracking, and recognition within a self-checkout environment.
.gif?generation=1694065408131442&alt=media)
Get the dataset
This is just an example of the data
Leave a request on https://trainingdata.pro/data-market to discuss your requirements, learn about the price and buy the dataset.
Dataset structure
The dataset consists of 3 folders with video frames from self-checkouts. Each folder includes:
- images: folder with original frames from the video,
- boxes: visualized data labeling for the images in the previous folder,
- .csv file: file with id and path of each frame in the "images" folder,
- annotations.xml: contains coordinates of the bounding boxes and labels, created for the original frames
Data Format
Each frame from images folder is accompanied by an XML-annotation in the annotations.xml file indicating the coordinates of the bounding boxes for products tracking. For each point, the x and y coordinates are provided. The payment status of the product is also indicated in the attribute paid (true, false).
Example of the XML-file
.png?generation=1694065620156605&alt=media)
Object tracking might be made in accordance with your requirements.
**TrainingData**
More datasets in TrainingData's Kaggle account: https://www.kaggle.com/trainingdatapro/datasets
TrainingData's GitHub: https://github.com/Trainingdata-datamarket/TrainingData_All_datasets
- Downloads last month
- 2