YOLOv3

Model Name:*

Description with Markdown (optional):

# YOLOv3

## Introduction

[ALGORITHM]

```latex
@misc{redmon2018yolov3,
    title={YOLOv3: An Incremental Improvement},
    author={Joseph Redmon and Ali Farhadi},
    year={2018},
    eprint={1804.02767},
    archivePrefix={arXiv},
    primaryClass={cs.CV}
}
```

## Results and Models

|    Backbone     |  Scale  | Lr schd | Mem (GB) | Inf time (fps) | box AP | Config | Download  |
| :-------------: | :-----: | :-----: | :------: | :------------: | :----: | :------: | :--------: |
|   DarkNet-53    |   320   |   273e  |   2.7    |      63.9      |  27.9  | [config](https://github.com/open-mmlab/mmdetection/tree/master/configs/yolo/yolov3_d53_320_273e_coco.py) | [model](http://download.openmmlab.com/mmdetection/v2.0/yolo/yolov3_d53_320_273e_coco/yolov3_d53_320_273e_coco-421362b6.pth) &#124; [log](http://download.openmmlab.com/mmdetection/v2.0/yolo/yolov3_d53_320_273e_coco/yolov3_d53_320_273e_coco-20200819_172101.log.json) |
|   DarkNet-53    |   416   |   273e  |   3.8    |      61.2      |  30.9  | [config](https://github.com/open-mmlab/mmdetection/tree/master/configs/yolo/yolov3_d53_mstrain-416_273e_coco.py) | [model](http://download.openmmlab.com/mmdetection/v2.0/yolo/yolov3_d53_mstrain-416_273e_coco/yolov3_d53_mstrain-416_273e_coco-2b60fcd9.pth) &#124; [log](http://download.openmmlab.com/mmdetection/v2.0/yolo/yolov3_d53_mstrain-416_273e_coco/yolov3_d53_mstrain-416_273e_coco-20200819_173424.log.json) |
|   DarkNet-53    |   608   |   273e  |   7.1    |      48.1      |  33.4  | [config](https://github.com/open-mmlab/mmdetection/tree/master/configs/yolo/yolov3_d53_mstrain-608_273e_coco.py) | [model](http://download.openmmlab.com/mmdetection/v2.0/yolo/yolov3_d53_mstrain-608_273e_coco/yolov3_d53_mstrain-608_273e_coco-139f5633.pth) &#124; [log](http://download.openmmlab.com/mmdetection/v2.0/yolo/yolov3_d53_mstrain-608_273e_coco/yolov3_d53_mstrain-608_273e_coco-20200819_170820.log.json) |

## Credit

This implementation originates from the project of Haoyu Wu(@wuhy08) at Western Digital.

Paper:*

Code URL (optional):

lr sched	273e
Memory (M)	2700.0
inference time (s/im)	0.01565

lr sched	273e
Memory (M)	3800.0
inference time (s/im)	0.01634

lr sched	273e
Memory (M)	7100.0
inference time (s/im)	0.02079

BENCHMARK	MODEL	METRIC NAME	METRIC VALUE	GLOBAL RANK
COCO minival	YOLOv3 (DarkNet-53, 273e, 608)	box AP	33.4	# 114
COCO minival	YOLOv3 (DarkNet-53, 273e, 416)	box AP	30.9	# 117
COCO minival	YOLOv3 (DarkNet-53, 273e, 320)	box AP	27.9	# 119

open-mmlab / mmdetection

YOLOv3

Introduction

Results and Models

Credit

Results

Object Detection on COCO minival

Object Detection

Architecture	Logistic Regression, k-Means Clustering, Darknet-53
lr sched	273e
Memory (M)	2700.0
inference time (s/im)	0.01565
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Backbone	Scale	Lr schd	Mem (GB)	Inf time (fps)	box AP	Config	Download
DarkNet-53	320	273e	2.7	63.9	27.9	config	model \| log
DarkNet-53	416	273e	3.8	61.2	30.9	config	model \| log
DarkNet-53	608	273e	7.1	48.1	33.4	config	model \| log