Closed Rithish5513U closed 4 months ago
Our team will soon review your PR. Thanks @Rithish5513U :)
Can i do the other models in new notebook file or should i do it in the same notebook??
Can i do the other models in new notebook file or should i do it in the same notebook??
You can update the existing notebook and add models one after another.
@abhisheks008 I can't upload my notebook in github. If i upload, it shows only half of the page. What can I do
I actually worked on a different notebook and merged those after u said and i dont know what happenned. Even if i upload, it only uploading half of the file
@abhisheks008 If i download it again from github it shows full code. I'm so confused
@abhisheks008 If i download it again from github it shows full code. I'm so confused
Then put the files separately. But in the README mention all the implemented models and document them all.
@abhisheks008 I dont have loss function metric in YOLO and i have confidence instead of accuracy in Yolo can i provide the confidence as the performance for yolo model and for other 2 models i.e., mobilet ssd and vgg- i will provide accuracy and loss function??
@abhisheks008 I dont have loss function metric in YOLO and i have confidence instead of accuracy in Yolo can i provide the confidence as the performance for yolo model and for other 2 models i.e., mobilet ssd and vgg- i will provide accuracy and loss function??
No issues. Just need a parameter to judge/check which is the best fitted model for this dataset.
@abhisheks008 A help needed from the mentor. I have used different email of github for doing this project contribution. But my mail while I register for GSSoc'24 is rithish.satish@gmail.com. Pls add the contribution points to this mail. Now i have changed my primary mail address in github to this (rithish.satish@gmail.com)
Pull Request for DL-Simplified 💡
Issue Title : Dog Face Detection using DL
Closes: #240
Describe the add-ons or changes you've made 📃
I have created a Dog Face Detection Model Using YOLOv8 Model I chose this model because it is best suited for object detection tasks.
Further I didn't use any other model because I face trouble with the amount of time it is taking to train the model. I have waited for a full night for the model to train because of the size of the dataset. Here the task is to detect dog face in the image and make a bounding box for the detected image. So I have trained YOLOv8 model.
Performance Metrics
Here I have not used Accuracy and Loss function. It is because of the bounding boxes and the problem is not about classification.
The performance metrices used here are :
How Has This Been Tested? ⚙️
I have verified the model prediction with the actual results. I have tested it by the above mentioned metrics and by manually viewing each images.
I have first trained YOLOv8 model and then I have predicted the output and tested it with the original results and gave the results accordingly.
Checklist: ☑️