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Datasets:
harpreetsahota
/
visual_ai_at_neurips2025_nomic

Tasks:
Image Classification
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fiftyone
image
image-classification
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fiftyone.utils.eval.classification.ClassificationResults
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"691380fc2f19f25903447e3f", "691380fe2f19f25903447e40", "691380ff2f19f25903447e41", "691381002f19f25903447e42", "691381012f19f25903447e43", "691381032f19f25903447e44", "691381042f19f25903447e45", "691381052f19f25903447e46", "691381062f19f25903447e47", "691381072f19f25903447e48", "691381092f19f25903447e49", "6913810a2f19f25903447e4a", "6913810b2f19f25903447e4b", "6913810c2f19f25903447e4c" ]
[ "Computer Vision", "Graphics", "Image and Video Processing", "Multimedia", "Robotics" ]
(none)
fiftyone.utils.eval.classification.ClassificationResults
null
["cs.CV","cs.CV","cs.CV","cs.CV","cs.RO","cs.CV","cs.CV","cs.RO","cs.CV","cs.CV","cs.CV","cs.CV","cs(...TRUNCATED)
["eess.IV","eess.IV","eess.IV","eess.IV","eess.IV","eess.IV","eess.IV","eess.IV","eess.IV","cs.MM","(...TRUNCATED)
[0.209165558218956,0.2104748785495758,0.21019335091114044,0.20831041038036346,0.2028772383928299,0.2(...TRUNCATED)
null
["69092ad56ff4d31845e5a0bf","69092ad56ff4d31845e5a0c0","69092ad56ff4d31845e5a0c1","69092ad56ff4d3184(...TRUNCATED)
["691381112f19f25903447e4d","691381122f19f25903447e4e","691381142f19f25903447e4f","691381152f19f2590(...TRUNCATED)
[ "cs.CV", "cs.GR", "cs.MM", "cs.RO", "eess.IV" ]
(none)

Dataset Card for Voxel51/visual_ai_at_neurips2025

This is a FiftyOne dataset with 1134 samples.

Installation

If you haven't already, install FiftyOne:

pip install -U fiftyone

Usage 

import fiftyone as fo
from fiftyone.utils.huggingface import load_from_hub

# Load the dataset
# Note: other available arguments include 'max_samples', etc
dataset = load_from_hub("harpreetsahota/visual_ai_at_neurips2025_nomic")

# Launch the App
session = fo.launch_app(dataset)

Dataset Details

Dataset Description

  • Curated by: [More Information Needed]
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  • Language(s) (NLP): en
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Source Data

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Bias, Risks, and Limitations

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Recommendations

Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.

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