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MMIFR Dataset
There are four different versions of datasets in this repository:
MMIFR-D: This dataset is structured for detection tasks, featuring 129 subclasses distributed across five main categories.
MMIFR-FS: Tailored for few-shot learning tasks, this dataset contains 5,907 images spanning 129 distinct classes.
MMIFR-P: Designed for image-text pairing tasks, this dataset comprises 192 images, each carefully matched to a specific label.
MMIFR-OD: Intended for object detection tasks, this dataset includes 7,279 images annotated with 8,839 labels.
Reference 📖
If you use the MMIFR dataset, please cite the following paper:
@article{chen2024mmifr,
title={MMIFR: Multi-modal industry focused data repository},
author={Chen, Mingxuan and Li, Shiqi and Wei, Xujun and Song, Jiacheng},
journal={Pattern Recognition Letters},
year={2024},
publisher={Elsevier}
}
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