Large Benchmark Datasets


Object Detection


Logistics Computer Vision Project

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99238 images
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Logistics Pre-trained Object Detection Model

Pre-trained models are trained on large datasets until they achieve good generalization, meaning they can recognize patterns effectively. "pre-trained" indicates that the model has already undergone training on a substantial dataset, often a generic one, and is ready for fine-tuning on a specific task with a smaller dataset. The Logistics Object Detection Base Model is a pre-trained model hosted on Roboflow Universe, created to be a strong starting point for custom training on logistics-specific object detection tasks. This model is built on a dataset of 99,238 images across 20 logistics-focused classes, collected from various projects on Roboflow Universe. Part of this dataset was auto-labeled using the Autodistill DETIC tool from Roboflow, helping to achieve a mean Average Precision (mAP) of 76%.


  • Barcode, QR Code
  • Car, Truck, Van
  • Cardboard Box, Wood Pallet, Freight Container
  • Fire, Smoke
  • Forklift
  • Gloves, Helmet, Safety Vest
  • Ladder
  • License Plate
  • Person
  • Road Sign, Traffic Cone, Traffic Light

Current Status: The model has achieved a mAP of 76%, marking its readiness as a checkpoint for further custom training. It aims to shorten the development cycle, facilitating better model performance in specific logistics scenarios.

Trained Model API

This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.


This project has a YOLOv8 model checkpoint available for inference with Roboflow Deploy. YOLOv8 is a new state-of-the-art real-time object detection model.

Cite this Project

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{ logistics-sz9jr_dataset,
    title = { Logistics Dataset },
    type = { Open Source Dataset },
    author = { Large Benchmark Datasets },
    howpublished = { \url{ } },
    url = { },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2023 },
    month = { oct },
    note = { visited on 2023-12-01 },

Find utilities and guides to help you start using the Logistics project in your project.

Last Updated

a month ago

Project Type

Object Detection




barcode, car, cardboard box, fire, forklift, freight container, gloves, helmet, ladder, license plate, person, qr code, road sign, safety vest, smoke, traffic cone, traffic light, truck, van, wood pallet

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CC BY 4.0