Synthetic dataset for warehouse equipment and pallet recognition (Models)
Description
This dataset provides a collection of synthetic images simulating various warehouse scenarios, specifically designed for training and evaluating computer vision models for equipment and pallet recognition tasks. The images feature a diverse range of warehouse environments, including different lighting conditions, object arrangements, and occlusions.
This dataset was created as part of a project funded by AI & ROBOTICS ESTONIA (EDIH)
Due to upload size limits the dataset was split into 4 pieces.
For an in depth explaination about the dataset creation and model training process see the thesis in Related works.
Technical info
Training process:
Both models were trained on the same dataset. The training set consised of ~10000 synthetic warehouse images and ~1300 images of people taken from the COCO dataset.
Models were trained until they showed a plateau in performance.
Model type: instance segmentation
Models trained:
Files
Files
(8.5 GB)
| Name | Size | Download all |
|---|---|---|
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md5:90a204521a2342508bacf41a2a9a7ac0
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5.8 GB | Download |
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md5:b0266e8ac891abb1f7a7ae30469e1557
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8.0 kB | Download |
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md5:e43ce7b20749c46621edbc775b8e69de
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2.7 GB | Download |
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md5:f775c1ffeb2861405632034d522ce647
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8.3 kB | Download |
Additional details
Related works
- Is described by
- Thesis: https://digikogu.taltech.ee/et/Item/4113691b-eb47-4bc5-87b8-8e2c399a66ed (URL)