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yolo-lightnet
yunkai/yolo-lightnet
yolo-lightnet is a object detection model from yunkai. Use it when you need objects located in an image. The card lists the license as apache-2.0.
This is an optimized YOLO model. It is optimized for running on NVDLA.
Access
Public
Updated Jul 9, 2023
Repo size
432 MB
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1
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Repo makeup
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At a glance
- Task
- Object Detection
- License
- apache-2.0
- Access
- Public
- Created
- Jul 6, 2023
- Updated
- Jul 9, 2023
- SHA
- 5886db6c
Spaces
Model card
From the Hugging Face model README
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
- Task
- Object Detection
- License
- apache-2.0
- Created
- Jul 6, 2023
- Updated
- Jul 9, 2023