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updated dataset

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ryanwong
2024-05-01 15:25:51 -04:00
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@@ -41,7 +41,7 @@ This project is divided into four main modules, each focusing on a distinct aspe
- *Functionality*: Extract and process handwritten queries using the same logic as Endpoint 1. - *Functionality*: Extract and process handwritten queries using the same logic as Endpoint 1.
- *Input*: Image file with handwritten text. - *Input*: Image file with handwritten text.
- *Output*: Same output format as Endpoint 1, adapted for image inputs. - *Output*: Same output format as Endpoint 1, adapted for image inputs also return the extracted test from OCR.
## Module 3: CNN Model Development ## Module 3: CNN Model Development
@@ -54,7 +54,7 @@ This project is divided into four main modules, each focusing on a distinct aspe
- *Functionality*: Use the CNN model to identify products from images and match them using the vector database. - *Functionality*: Use the CNN model to identify products from images and match them using the vector database.
- *Input*: Product image. - *Input*: Product image.
- *Output*: Product description and matching products in a format consistent with other endpoints. - *Output*: Product description and matching products in a format consistent with other endpoints. Also return the name of the `class` that you got from CNN model for the particular input image.
## Module 4: Frontend Development and Integration ## Module 4: Frontend Development and Integration
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