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object_detector's Introduction

object_detector

お勉強用(?)に作ってみた物体検知のコード置き場。

現在の性能&他のモデルとの比較メモ

  • 訓練データ: PASCAL VOC 07+12 trainval
  • 検証データ: PASCAL VOC 07 test
  • mAP: mean Average Precision (mAP) with PASCAL VOC2007 metric
モデル 入力サイズ ベースネットワーク mAP FPS
SSD321 321x321 ResNet101 77.1 11
SSD300* 300x300 VGG 77.2 46
DSOD 300x300 DS/64-192-48-1 77.7 17
DSSD 321 321x321 ResNet101 78.6 14
現在 320x320 Darknet53 80.1 17
YOLOv2 544x544 Darknet19 78.6 40
SSD512* 512x512 VGG 79.8 19
YOLOv3 416x416 Darknet53 80.2
DSSD 513 513x513 ResNet101 81.5 7
現在 640x640 Darknet53 83.0 13

FPSはGTX 1080でbatch size 1の処理時間から算出した値なので大き目なはず。(他はたぶんTitan Xでbatch size 1)

データの配置方法メモ

DATA.md

モデルの詳細メモ

MODEL.md

object_detector's People

Contributors

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