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awesome-object-detection icon awesome-object-detection

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

darknet icon darknet

Windows and Linux version of Darknet Yolo v4 (v3/v2) Neural Networks for object detection (Tensor Cores are used)

densenet icon densenet

Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).

diou icon diou

Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression (AAAI 2020)

gaussian_yolov3 icon gaussian_yolov3

Gaussian YOLOv3: An Accurate and Fast Object Detector Using Localization Uncertainty for Autonomous Driving (ICCV, 2019)

keras-yolo3 icon keras-yolo3

A Keras implementation of YOLOv3 (Tensorflow backend)

keras-yolo4 icon keras-yolo4

A Keras implementation of YOLOv4 (Tensorflow backend)

keras-yolov4 icon keras-yolov4

supports training, at least 39.5% mAP.支持训练,至少39.5%mAP。少数的给出精度的复现。

map icon map

mean Average Precision - This code evaluates the performance of your neural net for object recognition.

mobilenet-yolo icon mobilenet-yolo

MobileNetV2-YoloV3-Nano: 0.5BFlops 3MB HUAWEI P40: 6ms/img, YoloFace-500k:0.1Bflops 420KB:fire::fire::fire:

multi-yolov3 icon multi-yolov3

Implemented multi-backbone and multi_gpu_model for YOLOv3 framework, forked from qqwwee.

py-motmetrics icon py-motmetrics

:bar_chart: Benchmark multiple object trackers (MOT) in Python

slimyolov3 icon slimyolov3

This page is for the SlimYOLOv3: Narrower, Faster and Better for UAV Real-Time Applications

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