CV
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All models matching “CV”Datasets
All datasets matching “CV”assembly101
Assembly101
Assembly101 is a procedural activity dataset featuring 4321 videos of people assembling and disassembling 101 "take-apart" toy vehicles. Participants work without fixed instructions, and the sequences feature rich and natural variations in action ordering, mistakes, and corrections. Assembly101 is the first multi-view action dataset, with simultaneous static (8) and egocentric (4) recordings. Sequences are annotated with more than 100K coarse and 1M fine-grained… See the full description on the dataset page: https://huggingface.co/datasets/cvml-nus/assembly101.WavCaps
WavCaps
WavCaps is a ChatGPT-assisted weakly-labelled audio captioning dataset for audio-language multimodal research, where the audio clips are sourced from three websites (FreeSound, BBC Sound Effects, and SoundBible) and a sound event detection dataset (AudioSet Strongly-labelled Subset).
Paper: https://arxiv.org/abs/2303.17395
Github: https://github.com/XinhaoMei/WavCaps
Statistics
Data Source
# audio
avg. audio duration (s)avg. text length
FreeSound… See the full description on the dataset page: https://huggingface.co/datasets/cvssp/WavCaps.CVPR-BiomedSegFMThis repository contains the BiomedSegFM dataset, a crucial resource for the CVPR 2025 Competition: Foundation Models for 3D Biomedical Image Segmentation.
Foundation Models for Interactive 3D Biomedical Image Segmentation (Homepage)
Foundation Models for Text-guided 3D Biomedical Image Segmentation (Homepage)
CVPR 2025 Competition: Foundation Models for 3D Biomedical Image Segmentation
Highly recommend watching the webinar recording to learn about the task settings and… See the full description on the dataset page: https://huggingface.co/datasets/junma/CVPR-BiomedSegFM.new-york-smells
New York Smells: A Large Multimodal Dataset for Olfaction
While olfaction is central to how animals perceive the world, this rich chemical
sensory modality remains largely inaccessible to machines. One key bottleneck is the
lack of diverse, multimodal olfactory data collected in natural settings. We present
New York Smells, a large-scale dataset of paired image and olfactory signals
captured in-the-wild. Our dataset contains 7,000 smell-image pairs from 3,500 distinct
objects… See the full description on the dataset page: https://huggingface.co/datasets/cvlab/new-york-smells.PocketQubeobelics_seed2_tokensPart of the OBELISC data set, including 32 Million samples, please refer to dataset.py to use this data