:oncoming_automobile: "MORE THAN VEHICLE COUNTING!" This project provides prediction for speed, color and size of the vehicles with TensorFlow Object Counting API.
Detect, track, and count vehicles while also predicting their speed, color, and size using a TensorFlow model.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytime:oncoming_automobile: "MORE THAN VEHICLE COUNTING!" This project provides prediction for speed, color and size of the vehicles with TensorFlow Object Counting API.
vehicle_counting_tensorflow has 929 stars on GitHub. It has been forked 362 times. vehicle_counting_tensorflow is written mainly in Python. It has been in active development since 2018. vehicle_counting_tensorflow is available under the MIT license. Its main topics are color-recognition, computer-vision, data-science, deep-learning.
:oncoming_automobile: "MORE THAN VEHICLE COUNTING!" This project provides prediction for speed, color and size of the vehicles with TensorFlow Object Counting API.
vehicle_counting_tensorflow is an open-source project. It is released under the MIT license.
Yes. vehicle_counting_tensorflow is free and open source — you can use, modify and self-host it.
vehicle_counting_tensorflow is available under the MIT license.
vehicle_counting_tensorflow is written mainly in Python.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/ahmetozlu-vehicle-counting-tensorflow.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.