Published April 10, 2024
| Version v1
Dataset
Open
INTELLIMAN_WP2_Application Requirements and Integration_T2.4_Fresh food handling use case analysis, integration and validation_Apple 6D pose estimation dataset_v0
Authors/Creators
Description
The dataset contains the data generated for the training of the 6D pose estimation neural network
DOPE related to the publication:
M. Costanzo, M. De Simone, S. Federico, C. Natale and S. Pirozzi, "Enhanced 6D Pose Estimation for
Robotic Fruit Picking," 2023 9th International Conference on Control, Decision and Information
Technologies (CoDIT), Rome, Italy, 2023, pp. 901-906, doi: 10.1109/CoDIT58514.2023.10284072.
Files
Files
(32.7 GB)
| Name | Size | |
|---|---|---|
|
md5:df500c2cccfc6594fe955a991305339d
|
4.3 GB | Download |
|
md5:c284bf5f05f81a8efb9cd876996a9a83
|
4.3 GB | Download |
|
md5:09fc401b56c206b236c084005b150c2e
|
4.3 GB | Download |
|
md5:e3ae3931e4f952a18c9cf61b6318c37c
|
4.3 GB | Download |
|
md5:0ff993e900ba74f0c1d1bf528c99b9d7
|
4.3 GB | Download |
|
md5:3bf1daf8143ea99fbc264c0c4a731351
|
4.3 GB | Download |
|
md5:2ab95cbd4fa7ef63885b2e04cf9fe5b6
|
4.3 GB | Download |
|
md5:92884a2d0bd3758c1f2831d2705fc148
|
2.6 GB | Download |
Additional details
Related works
- Documents
- Conference paper: 10.1109/CoDIT58514.2023.10284072 (DOI)