FDA
- Citation Author(s):
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Kunshan Yang (University of Electronic Science and Technology of China)
- Submitted by:
- Kunshan Yang
- Last updated:
- DOI:
- 10.21227/bnhb-sv30
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Abstract
We have created a dataset named FDA, which consists of diverse images of flexible objects collected from real-world scenarios or online sources. To the best of our knowledge, FDA is the first extensive, multi-category dataset specifically designed for the recognition of flexible objects. This dataset establishes a benchmark for evaluating the performance of models in flexible objects recognition tasks.
Instructions:
We have created a dataset named FDA, which consists of diverse images of flexible objects collected from real-world scenarios or online sources. To the best of our knowledge, FDA is the first extensive, multi-category dataset specifically designed for the recognition of flexible objects. This dataset establishes a benchmark for evaluating the performance of models in flexible objects recognition tasks.
We hope FDA dataset could contribute to the comunity