₹ 1000
Budget
5
Proposals
1002
Views
Active
Status
Project Details
High-quality skin cancer image generation using Generative Adversarial Networks (ACGAN). The dataset is available at https://www.kaggle.com/competitions/siim-isic-melanoma-classification/data and https://www.kaggle.com/datasets/kmader/skin-cancer-mnist-ham10000.
Current Project Status:
The code pipeline is working properly. Code is already implemented in PyTorch. The code is written such that it also saves the progress after every epoch. Therefore, there is no tension of runtime interruptions. You can refer to https://github.com/alxiang/lesion-GAN/blob/master/ACGAN.ipynb.
Current requirements:
Hyperparameter tuning or changes in the already implemented architecture is required for high-quality image generation and for reducing loss.
Deliverables:
1. Edited colab code(PyTorch).
2. Results (Metrics used in conditional gans).
3. High-quality generated Images (Binary class Melonama and Non-Melonama).
Please contact me so that I share the code.
About the Client
India
Member since
Copyright © 2025 | Truelancer.com