Image Classification with Transfer Learning
Budget: ₹1,000 – ₹2,000 INR
As part of our university minor project, we need to train several models including RESNET50, DENSENET121, Inception-ResNETv2, VGG16, and VGG19 on the HAM10000 dataset.
Key tasks include:
- Comparing models using Accuracy, Precision and Recall, and F1 Score
- Selecting the model with the highest accuracy
- Attaching an attention model to the selected model to improve accuracy
We specifically require the following:
- Data augmentation techniques for the HAM10000 dataset to handle class imbalance.
- The use of TensorFlow for model development
Ideal skills and experience for this job include:
- Expertise in TensorFlow
- Experience in training and evaluating image classification models
- Knowledge of transfer learning and data augmentation techniques
- Ability to implement and tune attention models
Key tasks include:
- Comparing models using Accuracy, Precision and Recall, and F1 Score
- Selecting the model with the highest accuracy
- Attaching an attention model to the selected model to improve accuracy
We specifically require the following:
- Data augmentation techniques for the HAM10000 dataset to handle class imbalance.
- The use of TensorFlow for model development
Ideal skills and experience for this job include:
- Expertise in TensorFlow
- Experience in training and evaluating image classification models
- Knowledge of transfer learning and data augmentation techniques
- Ability to implement and tune attention models