Truck Axle Detection
| Main Authors: | Leandro Arab Marcomini, Andre Luiz Cunha |
|---|---|
| Format: | info dataset Journal |
| Bahasa: | eng |
| Terbitan: |
, 2020
|
| Subjects: | |
| Online Access: |
https://zenodo.org/record/3788068 |
Daftar Isi:
- This dataset was created to train a neural network to recognize truck axles, applied to videos recorded in a highway in the State of São Paulo, Brazil. This is still a work in progress and will be updated regularly. More info can be found in our Researchgate Lab Page or on our OrcID Profiles. The dataset includes 1737 cropped images of truck axles, divided in two folders: Axle_Dark - Images of shadowed or dark truck axles, with few features and details visible. 1034 images Format: JPEG Resolution: Various, 96dpi Axle_Clear - Images of clear truck axles, with visible details and features. 703 images Format: JPEG Resolution: Various, 96dpi Naming pattern: <video_name>_<color|gray>-<Region_of_Interest_ID>-<truck_ID>_<axle_number>.jpg If this dataset helps in any way your research, please feel free to contact the authors. We really enjoy knowing about other researcher's projects and how everybody is making use of the images on this dataset. We are also open for collaborations and to answer any questions.