Offline Image Classification & Object Detection
Budget: ₹600 – ₹700 INR
I'm currently seeking an expert in deep learning and TensorFlow, specifically skilled in the construction and fine-tuning of Convolutional Neural Network (CNN) models. I need help with offline image classification and object detection tasks.
Key requirements:
- Proficiency in Deep Learning and TensorFlow.
- Expertise in Convolutional Neural Networks (CNN)
- Experience with image classification and object detection tasks.
- Capability to work on an offline model.
Candidates with prior experience in similar tasks will be given preference. Accuracy and efficiency of the created model are paramount.
The project involves the development of a deep learning model for medical image classification, particularly focusing on chest X-ray images. The model architecture is largely in place, but there are a few key tasks that require attention:
Replace Deprecated TensorFlow and Keras Methods: The project currently uses deprecated methods of TensorFlow and Keras, which need to be updated to ensure compatibility with the latest versions. This is crucial for maintaining the long-term reliability and efficiency of the model.
Integration of Grad-CAM Outputs: I'm looking for effective implementation of Grad-CAM (Gradient-weighted Class Activation Mapping) to visualize the model's predictions and highlight the important regions in the input chest X-ray images. The freelancer should be able to seamlessly incorporate Grad-CAM outputs into the project for better interpretability.
Development of Simple Frontend: A basic frontend interface is required where users can input chest X-ray images. The frontend should facilitate the transmission of these images to the deep learning model, and the model output (classification results) should be displayed back to the user in an intuitive manner.
Key Requirements:
Proficiency in TensorFlow and Keras, with the ability to update deprecated methods and ensure compatibility with the latest versions.
Experience in implementing Grad-CAM for visualizing deep learning model predictions.
Frontend development skills to create a simple user interface for uploading chest X-ray images and displaying model outputs.
The project has significant potential for impact in the field of medical image analysis, and I'm excited to collaborate with a skilled freelancer who can help bring it to completion.
If you're interested in taking on this project or have any questions, please feel free to reach out. I'd be happy to provide further details and discuss the scope of work in more detail.
Looking forward to hearing from you soon ,
project link : https://drive.google.com/drive/folders/1DljKSJidHGUTFxobx4D-oZ3QTOtWc3a6?usp=sharing
Key requirements:
- Proficiency in Deep Learning and TensorFlow.
- Expertise in Convolutional Neural Networks (CNN)
- Experience with image classification and object detection tasks.
- Capability to work on an offline model.
Candidates with prior experience in similar tasks will be given preference. Accuracy and efficiency of the created model are paramount.
The project involves the development of a deep learning model for medical image classification, particularly focusing on chest X-ray images. The model architecture is largely in place, but there are a few key tasks that require attention:
Replace Deprecated TensorFlow and Keras Methods: The project currently uses deprecated methods of TensorFlow and Keras, which need to be updated to ensure compatibility with the latest versions. This is crucial for maintaining the long-term reliability and efficiency of the model.
Integration of Grad-CAM Outputs: I'm looking for effective implementation of Grad-CAM (Gradient-weighted Class Activation Mapping) to visualize the model's predictions and highlight the important regions in the input chest X-ray images. The freelancer should be able to seamlessly incorporate Grad-CAM outputs into the project for better interpretability.
Development of Simple Frontend: A basic frontend interface is required where users can input chest X-ray images. The frontend should facilitate the transmission of these images to the deep learning model, and the model output (classification results) should be displayed back to the user in an intuitive manner.
Key Requirements:
Proficiency in TensorFlow and Keras, with the ability to update deprecated methods and ensure compatibility with the latest versions.
Experience in implementing Grad-CAM for visualizing deep learning model predictions.
Frontend development skills to create a simple user interface for uploading chest X-ray images and displaying model outputs.
The project has significant potential for impact in the field of medical image analysis, and I'm excited to collaborate with a skilled freelancer who can help bring it to completion.
If you're interested in taking on this project or have any questions, please feel free to reach out. I'd be happy to provide further details and discuss the scope of work in more detail.
Looking forward to hearing from you soon ,
project link : https://drive.google.com/drive/folders/1DljKSJidHGUTFxobx4D-oZ3QTOtWc3a6?usp=sharing