| AliaksandrSiarohin/video-preprocessing |
347 |
|
0 |
0 |
over 3 years ago |
0 |
|
25 |
|
Python |
| facebookresearch/ContactPose |
235 |
|
0 |
0 |
over 3 years ago |
0 |
|
4 |
mit |
Jupyter Notebook |
| Large dataset of hand-object contact, hand- and object-pose, and 2.9 M RGB-D grasp images. |
| liruoteng/OpticalFlowToolkit |
194 |
|
0 |
0 |
almost 7 years ago |
0 |
|
1 |
mit |
Python |
| Python-based optical flow toolkit for existing popular dataset |
| AAnoosheh/ComboGAN |
128 |
|
0 |
0 |
over 7 years ago |
0 |
|
0 |
bsd-2-clause |
Python |
| dl4sits/BreizhCrops |
123 |
|
0 |
0 |
almost 4 years ago |
15 |
June 04, 2022 |
11 |
gpl-3.0 |
Jupyter Notebook |
| A Satellite Time Series Dataset for Crop Type Identification |
| artest08/LateTemporalModeling3DCNN |
117 |
|
0 |
0 |
almost 5 years ago |
0 |
|
15 |
mit |
Python |
| tynguyen/unsupervisedDeepHomographyRAL2018 |
115 |
|
0 |
0 |
almost 8 years ago |
0 |
|
0 |
|
Python |
| Unsupervised Deep Homography: A Fast and Robust Homography Estimation Model |
| lozuwa/impy |
100 |
|
0 |
0 |
about 7 years ago |
0 |
|
4 |
apache-2.0 |
Python |
| Impy is a Python3 library with features that help you in your computer vision tasks. |
| Neerajj9/CSRNet-keras |
84 |
|
0 |
0 |
over 6 years ago |
0 |
|
12 |
mit |
Jupyter Notebook |
| Implementation of the CSRNet paper (CVPR 18) in keras-tensorflow |
| cwfid/dataset |
75 |
|
0 |
0 |
almost 11 years ago |
0 |
|
0 |
|
|
| Crop/Weed Field Image Dataset |
