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- Edit this `README.md` markdown file to author your organization card πŸ”₯
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ πŸ™‹β™€οΈ Focusing on the field of merchandise recognition in retail scenarios, including but not limited to: merchandise recognition, shelf display placement, big data visualization analysis, etc., mainly based on image recognition, target detection, target tracking and other computer vision and data analysis and other related technologies for related business expansion.
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+ 🌈 If you are interested in retail scenarios, or if you are interested in any of the above technology scenarios, welcome to join us!
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+ πŸ§™ For organization or organization interested in any project, you are welcome to communicate with us via email!
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+ 🍿 Recent Updates.
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+ 1. Splitting the former [Smart_container](https://github.com/thomas-yanxin/Smart_container) project structure into organizational structures due to expanding projects and plans to expand boundaries.
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+ 2. Providing end-side level [RP2K](https://www.pinlandata.com/rp2k_dataset) pre-training model based on [PPLCNET](https://github.com/PaddlePaddle/PaddleClas/blob/release/2.4/docs/zh_CN/models/PP-LCNet.md) backbone network with 96.54% accuracy.
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+ 3. Soon to provide [PPLCNETV2-based](https://github.com/PaddlePaddle/PaddleClas/blob/release/2.4/docs/zh_CN/models/PP-LCNetV2.md) end-side level model and [PPHGNET](https://github.com/PaddlePaddle/PaddleClas/blob/release/2.4/docs/zh_CN/models/PP-HGNet.md) server-side model, and related inference models. Stay tuned.
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+ 4. upcoming provision of image recognition tutorials to facilitate developers' training tuning.
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+ 5. Interested developers are welcome to join the [RP2K](https://www.pinlandata.com/rp2k_dataset) hit list!