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FSOD (Few-Shot Object Detection Dataset) Computer Vision Project
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Few-Shot Object Detection Dataset (FSOD) is a high-diverse dataset specifically designed for few-shot object detection and intrinsically designed to evaluate thegenerality of a model on novel categories.
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.
Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
fsod-few-shot-object-detection-dataset_dataset,
title = { FSOD (Few-Shot Object Detection Dataset) Dataset },
type = { Open Source Dataset },
author = { Large Benchmark Datasets },
howpublished = { \url{ https://universe.roboflow.com/large-benchmark-datasets/fsod-few-shot-object-detection-dataset } },
url = { https://universe.roboflow.com/large-benchmark-datasets/fsod-few-shot-object-detection-dataset },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { oct },
note = { visited on 2024-04-27 },
}
Connect Your Model With Program Logic
Find utilities and guides to help you start using the FSOD (Few-Shot Object Detection Dataset) project in your project.
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