Open Kshah002 opened 4 months ago
Thank you for creating this issue! We'll look into it as soon as possible. Your contributions are highly appreciated! π
This project is already present in this repo, https://github.com/abhisheks008/DL-Simplified/tree/main/Ship%20Detection%20from%20Aerial%20Images
ya i was thinking to work on the same statement and try to get better results with different models as they have used yolo over there. If it is okay ?
Then it's an enhancement of the existing project. You can add your contribution in the existing project folder, no need to create a separate project folder.
Can you share the models you are planning to implement for the enhancement of the existing project? @Kshah002
yeah okay so if you could provide me with the link of the folder and also label with necessary gssoc tags, it would be great Here are the models I am planning to implement - DenseNet - https://keras.io/api/applications/densenet/ Xception - https://keras.io/api/applications/xception/ EfficientNet - https://keras.io/api/applications/efficientnet/ ResNet - https://keras.io/api/applications/resnet/
https://github.com/abhisheks008/DL-Simplified/tree/main/Ship%20Detection%20from%20Aerial%20Images
Enhance the model only. No need to remove the files, edit the jupyter notebook and push your codes. Once done update the README file along with your models.
Assigned @Kshah002
πThank you.
Deep Learning Simplified Repository (Proposing new issue)
:red_circle: Project Title : Ship Detection from Aerial Images :red_circle: Aim : To detect whether there are any ships in the given picture or not. :red_circle: Dataset : https://www.kaggle.com/datasets/andrewmvd/ship-detection :red_circle: Approach :
Dataset being very scarce the first task to apply data augmentation
Using Transfer Learning approach by leveraging pretrained models - DenseNet121, ResNet50, Xception and EfficientNet B5 and comparing the results. Will try to implement all four models however can assure to use atleast 3 models mentioned
π Follow the Guidelines to Contribute in the Project :
requirements.txt
- This file will contain the required packages/libraries to run the project in other machines.Model
folder, theREADME.md
file must be filled up properly, with proper visualizations and conclusions.:red_circle::yellow_circle: Points to Note :
:white_check_mark: To be Mentioned while taking the issue :
Happy Contributing π
All the best. Enjoy your open source journey ahead. π