FDA

Citation Author(s):
Kunshan
Yang
University of Electronic Science and Technology of China
Submitted by:
Kunshan Yang
Last updated:
Mon, 09/30/2024 - 01:33
DOI:
10.21227/bnhb-sv30
License:
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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.

Comments

We hope FDA dataset could contribute to the comunity

Submitted by Kunshan Yang on Mon, 09/30/2024 - 01:35