zoonet

Knuthenborg

Object Detection

Knuthenborg Computer Vision Project

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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.

YOLOv8

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{
                            knuthenborg_dataset,
                            title = { Knuthenborg Dataset },
                            type = { Open Source Dataset },
                            author = { zoonet },
                            howpublished = { \url{ https://universe.roboflow.com/zoonet/knuthenborg } },
                            url = { https://universe.roboflow.com/zoonet/knuthenborg },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { aug },
                            note = { visited on 2024-03-05 },
                            }
                        

Connect Your Model With Program Logic

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

Source

zoonet

Last Updated

7 months ago

Project Type

Object Detection

Subject

Animals

Classes

arctic_wolf bezoar_goat bison camel donkey eland_antelope emu giraffe hamadryas_baboon human kangaroo llama moose muntjac nubian_goat ostrich rhinoceros sable_antelope shetland_pony tiger water_buffalo zebra zebu

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License

CC BY 4.0

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