[DMP 2024]: Develop TinyML Models for Agriculture and Document Detection Tasks

[MohitNSamagra]

Ticket Contents

Description

Create compact TensorFlow Lite (TFLite) models that can be deployed on mobile devices for offline use, specifically for agricultural pest detection and document handling tasks. These models must be tiny, with a file size of <= 10MB, to facilitate easy integration into mobile applications.

The project involves developing two sets of TinyML models. The first set targets the agricultural sector, focusing on pest detection through image analysis. The second set aims at document detection and processing, including blur detection, alignment correction, and document type classification.

Goals & Mid-Point Milestone

Goals

• Develop compact TensorFlow Lite (TFLite) models for agricultural pest detection and document handling tasks.
• Agricultural Model:
  • Develop a TinyML model for accurately analyzing close-up images of crop leaves for pest detection.
• Document Detection Support Models:
  • Develop TinyML models for blurry image detection, alignment correction, and document type classification.
• Ensure all models are optimized for low resource consumption and packaged into files with a size of <= 10MB.
• Conduct extensive testing on diverse datasets to ensure robustness and accuracy of the models.
• Document the development process, including model architectures, training methodologies, and testing procedures.

Setup/Installation

No response

Expected Outcome

No response

Acceptance Criteria

No response

Implementation Details

• Utilize TensorFlow Lite for model development, ensuring the models are optimized for low resource consumption.
• The models should be tested extensively on diverse datasets to ensure robustness and accuracy.
• Special consideration must be given to the model architecture to maintain a balance between performance and model size, with a strict size limit of < 10MB.
• Contributors are encouraged to share their progress, challenges, and insights through comments. Collaborative efforts are highly appreciated. The contribution deemed most effective and efficient will lead to further discussions and potential project assignment.

Mockups/Wireframes

No response

Product Name

ai-tools

Organisation Name

SamagraX

Domain

⁠Agriculture

Tech Skills Needed

Machine Learning, Python

Mentor(s)

@ChakshuGautam @GautamR-Samagra

Category

Machine Learning