---
title: Yolo V3
emoji: 📈
colorFrom: purple
colorTo: yellow
sdk: gradio
sdk_version: 4.38.1
app_file: app.py
pinned: false
license: mit
---



# Yolov3 Trained on Pascal VOC 

- Model is trained on [PASCAL VOC](https://www.kaggle.com/datasets/aladdinpersson/pascal-voc-dataset-used-in-yolov3-video) dataset
- The model is trained for 40 epochs using one cycle policy
- Model has used Mosaic technique to speed up the training part





## Links

- Training Repository Link: https://github.com/Shilpaj1994/ERA/tree/master/Session13

- Model File Link: https://huggingface.co/spaces/Shilpaj/yolo_v3/resolve/main/epoch%3D39-step%3D41400.ckpt

- Application Link: https://huggingface.co/spaces/Shilpaj/yolo_v3





## Usage

- Select the IOU threshold which internally modifies the non-max suppression values to display the bounding box output
- Select the threshold value of the class. Objects with class confidence above the threshold value will be displayed with bounding box
- Select if GradCam output is to be displayed or not
- Select the opacity of the GradCam output over the input image




![](data/app.gif)