License_plate_detection_dataset
A dataset to train deep neural license plate detector (by Valdiolus)
Rear_view_camera_dataset
A dataset to train rear-view smart bicycle cameras (by Valdiolus)
| License_plate_detection_dataset | Rear_view_camera_dataset | |
|---|---|---|
| 1 | 1 | |
| 4 | 2 | |
| - | - | |
| 10.0 | 10.0 | |
| over 1 year ago | over 1 year ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
License_plate_detection_dataset
Posts with mentions or reviews of License_plate_detection_dataset.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-03-28.
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How to build computer vision dataset labeling team in-house
Next, I trained YOLOv5s and YOLOv5m. Afterwards, I released both the models and the dataset as open source (link) with the same license: "Use it well".
Rear_view_camera_dataset
Posts with mentions or reviews of Rear_view_camera_dataset.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-03-28.
-
How to build computer vision dataset labeling team in-house
A team of annotators and the infrastructure described in this article I needed to label my dataset, which was collected from cameras on the road (30k+ photos). This dataset was necessary to train an object detection model on six classes: [person, car, bus, bicycle, motorcycle, truck]. I released the dataset, created in this manner, as open source, and it can be downloaded here (link) together with trained YOLOv5s and YOLOv5x models from a popular repository (link) using this dataset. The license is simple: "Use it well"!
What are some alternatives?
When comparing License_plate_detection_dataset and Rear_view_camera_dataset you can also consider the following projects:
cvat - Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale. [Moved to: https://github.com/cvat-ai/cvat]
yolov5 - YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite