Food Item Recognition for Shelf Analysis
Budget: $250 – $750 USD
For this project, I'm looking for an expert in machine learning and image recognition to develop a model that will accurately identify food objects from images:
Key Objectives:
- The model should focus explicitly on food items with the end goal being to assess the share of shelf products in stores. Please ensure that the model can identify a range of different food types, with a strong understanding of diversity in shapes, sizes, and packaging.
- The final application of the image recognition model is for retail shelf analysis.
Ideal Candidate:
The perfect match would have experience with object recognition models, particularly food items and retail environments. Strong proficiency in machine learning and related software would be a substantial advantage for this project.
Key Objectives:
- The model should focus explicitly on food items with the end goal being to assess the share of shelf products in stores. Please ensure that the model can identify a range of different food types, with a strong understanding of diversity in shapes, sizes, and packaging.
- The final application of the image recognition model is for retail shelf analysis.
Ideal Candidate:
The perfect match would have experience with object recognition models, particularly food items and retail environments. Strong proficiency in machine learning and related software would be a substantial advantage for this project.