---
license: apache-2.0
tags:
- darknet
- yolo
pipeline_tag: object-detection
---
# yolo-lightnet

<!-- Provide a quick summary of what the model is/does. -->

This is an optimized YOLO model. It is optimized for running on NVDLA.

*NOTE: This is darknet format **NOT** Pytorch.*

## Model Details

<!-- Provide a longer summary of what this model is. -->

File name is formatted like `lightnet-{name}-{resolution}.weights`. 


### driving

- target: car, bus, person, bike, truck, motor, train, rider, traffic_sign, traffic_light
- training data: BDD100K

### face

- target: face
- train data: wider face

### head_body

- target: head, body(include hidden area)
- train data: crowdhuman

### head_body-visible

- target: head, body(only visible area)
- train data: crowdhuman
- cfg file and label names are same as `head body`

## Uses

Running on:
https://github.com/daniel89710/lightNet-TRT
https://github.com/AlexeyAB/darknet