Dataset · Hugging Face

Voxel51/visdrone-mot

Name: visdrone-mot
Creator: Voxel51
Keywords: task_categories:image-classification, language:en, size_categories:1K<n<10K, format:imagefolder, modality:image, library:datasets, library:mlcroissant, library:fiftyone, arxiv:2001.06303, region:us, fiftyone, image, image-classification

Dataset Card for VisDrone2019-DET This is a FiftyOne version of the VisDrone2019-DET dataset with 8629 samples. Installation If you haven't already, install FiftyOne: pip install -U fiftyone Usage import fiftyone as fo import fiftyone.utils.huggingface as fouh # Load the dataset # Note: other available arguments include 'max_samples', 'persistent`, 'overwrite' etc dataset = fouh.load_from_hub("Voxel51/VisDrone2019-DET") # Launch the App session… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/visdrone-mot.

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Author / organization	Voxel51
Downloads	2.6K (as reported by Hugging Face)
Likes	1
Created	11 March 2025
Last updated at source	12 March 2025

fiftyoneimageimage-classification

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16 Oct 2026 Description: Dataset Card for VisDrone2019-DET This is a FiftyOne version of the VisDrone2019-DET dataset with 8629 samples. Installation If you haven't already, install FiftyOne: pip install -U fiftyone Usage import fiftyone as fo import fiftyone.utils → Dataset Card for VisDrone2019-DET This is a FiftyOne version of the VisDrone2019-DET dataset with 8629 samples. Installation If you haven't already, install FiftyOne: pip install -U fiftyone Usage import fiftyone as fo import fiftyone.utils

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