| tensorflow/models |
76,370 |
|
0 |
36 |
about 2 years ago |
40 |
November 15, 2023 |
1,222 |
other |
Jupyter Notebook |
| Models and examples built with TensorFlow |
| qubvel/segmentation_models |
4,514 |
|
12 |
16 |
about 2 years ago |
8 |
January 10, 2020 |
263 |
mit |
Python |
| Segmentation models with pretrained backbones. Keras and TensorFlow Keras. |
| yingkaisha/keras-unet-collection |
428 |
|
0 |
4 |
about 3 years ago |
32 |
January 10, 2022 |
28 |
mit |
Python |
| The Tensorflow, Keras implementation of U-net, V-net, U-net++, UNET 3+, Attention U-net, R2U-net, ResUnet-a, U^2-Net, TransUNET, and Swin-UNET with optional ImageNet-trained backbones. |
| Byronnar/tensorflow-serving-yolov3 |
358 |
|
0 |
0 |
over 4 years ago |
0 |
|
28 |
mit |
Python |
| 本项目主要对原tensorflow-yolov3版本做了许多细节上的改进,增加了TensorFlow-Serving工程部署,训练了多个数据集，包括Visdrone2019, 安全帽等, 安全帽mAP在98%左右, 推理速度1080上608的尺寸大概25fps. |
| HiKapok/tf.fashionAI |
239 |
|
0 |
0 |
almost 8 years ago |
0 |
|
3 |
apache-2.0 |
Python |
| Full pipeline for TianChi FashionAI clothes keypoints detection compitetion in TensorFlow |
| JanMarcelKezmann/TensorFlow-Advanced-Segmentation-Models |
125 |
|
0 |
0 |
almost 3 years ago |
0 |
|
8 |
other |
Python |
| A Python Library for High-Level Semantic Segmentation Models based on TensorFlow and Keras with pretrained backbones. |
| HiKapok/X-Detector |
120 |
|
0 |
0 |
almost 8 years ago |
0 |
|
5 |
apache-2.0 |
Python |
| Light-Head RCNN and One Novel Object Detector |
| CasiaFan/SSD_EfficientNet |
57 |
|
0 |
0 |
over 6 years ago |
0 |
|
11 |
|
Python |
| SSD using TensorFlow object detection API with EfficientNet backbone |
| nearthlab/image-segmentation |
35 |
|
0 |
0 |
over 6 years ago |
0 |
|
2 |
mit |
Python |
| Mask R-CNN, FPN, LinkNet, PSPNet and UNet with multiple backbone architectures support readily available |
| abg3/Smoke-Detection-using-Tensorflow-2.2 |
31 |
|
0 |
0 |
over 4 years ago |
0 |
|
1 |
mit |
Jupyter Notebook |
| An experimental repository to build ML models and perform efficient wildfire smoke detection. |
