Sample dataset#

Stepping into the dynamic world of computer vision becomes a lot easier when you have the right data to work with. In this regard, the “Smart Warehouse” dataset serves as a significant asset. Comprising of unannotated images and videos, this dataset mirrors real-life warehouse scenarios, providing a relevant and practical context for a wide array of computer vision tasks.

Note

All datasets provided in this documentation are licensed under the Apache License 2.0.

Below, you will find a detailed description of the “Smart Warehouse” dataset contents.

Folder Overview#

Each category in this dataset, represented as a folder, focuses on a specific perspective or aspect of the warehouse environment. The two folders are:

  • BoxesOnTheConveyorBelt

  • WarehouseOverview

BoxesOnTheConveyorBelt#

This folder contains three image sets showcasing:

  1. a collection of good packages

  2. one faulty package on the conveyor belt

  3. packages viewed from a top-down perspective

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These image sets are useful for segmentation, detection (including normal and rotated bounding boxes), and task chains, which involve applying a sequence of different computer vision tasks on the same data.

You can download the dataset from this link:

WarehouseOverview#

This folder contains four videos, each showing the same warehouse from a different perspective. There is also a video demonstrating a situation involving a faulty AMR.

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These videos can be used for detection tasks (such as identifying objects in the video), segmentation tasks, and anomaly detection/segmentation tasks.

You can download the dataset from this link: