| albumentations-team/albumentations |
12,998 |
|
64 |
273 |
over 2 years ago |
53 |
June 10, 2023 |
391 |
mit |
Python |
| Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125 |
| BloodAxe/pytorch-toolbelt |
1,458 |
|
1 |
6 |
about 2 years ago |
27 |
June 27, 2022 |
2 |
mit |
Python |
| PyTorch extensions for fast R&D prototyping and Kaggle farming |
| zhunzhong07/Random-Erasing |
697 |
|
0 |
0 |
over 2 years ago |
0 |
|
11 |
apache-2.0 |
Python |
| Random Erasing Data Augmentation. Experiments on CIFAR10, CIFAR100 and Fashion-MNIST |
| Paperspace/DataAugmentationForObjectDetection |
609 |
|
0 |
0 |
almost 6 years ago |
0 |
|
19 |
mit |
Jupyter Notebook |
| Data Augmentation For Object Detection |
| conradry/copy-paste-aug |
306 |
|
0 |
0 |
over 4 years ago |
0 |
|
6 |
mit |
Jupyter Notebook |
| Copy-paste augmentation for segmentation and detection tasks |
| ZhenglinZhou/Data_Augmentation_Zoo_for_Object_Detection |
186 |
|
0 |
0 |
over 5 years ago |
0 |
|
|
|
Python |
| Includes: Learning data augmentation strategies for object detection | GridMask data augmentation | Augmentation for small object detection in Numpy. Use RetinaNet with ResNet-18 to test these methods on VOC and KITTI. |
| amirassov/kaggle-global-wheat-detection |
104 |
|
0 |
0 |
over 4 years ago |
0 |
|
1 |
apache-2.0 |
Python |
| 9th Place Solution of Kaggle Global Wheat Detection |
| pooya-mohammadi/deep_utils |
95 |
|
0 |
0 |
about 2 years ago |
83 |
December 06, 2023 |
6 |
mit |
Python |
| An open-source toolkit which is full of handy functions, including the most used models and utilities for deep-learning practitioners! |
| zhpmatrix/VisDrone2018 |
77 |
|
0 |
0 |
almost 8 years ago |
0 |
|
4 |
|
Python |
| ECCV2018(Challenge-Object Detection in Images) |
| csvance/keras-mobile-detectnet |
64 |
|
0 |
0 |
over 6 years ago |
0 |
|
4 |
mit |
Python |
| Fast Object Detector for the Jetson Nano |
