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🚀 The TensorFlow Object Counting API is an open source framework built on top of TensorFlow and Keras that makes it easy to develop object counting systems!
| Date | Stars |
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| 2026-07-24 | 1333 |
| 2026-07-25 | 1333 |
| 2026-07-28 | 1333 |
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# TensorFlow Object Counting API The TensorFlow Object Counting API is an open source framework built on top of TensorFlow and Keras that makes it easy to develop object counting systems. ***Please contact if you need professional object detection & tracking & counting project with the super high accuracy and reliability!*** ## QUICK DEMO --- ### Cumulative Counting Mode (TensorFlow implementation): <p align="center"> <img src="https://user-images.githubusercontent.com/22610163/107875666-4da86080-6ed2-11eb-9be8-cdd0815897cd.gif" | width=418> <img src="https://user-images.githubusercontent.com/22610163/43166945-c0744de0-8fa0-11e8-8985-9f863c59e859.gif" | width=400> </p> --- ### Real-Time Counting Mode (TensorFlow implementation): <p align="center"> <img src="https://user-images.githubusercontent.com/22610163/42237325-1f964e82-7f06-11e8-966b-dfde98701c66.gif" | width=410> <img src="https://user-images.githubusercontent.com/22610163/42238435-77ac0d34-7f09-11e8-9609-e7c3c2c5af74.gif" | width=410> </p> <p align="center"> <img src="https://user-images.githubusercontent.com/22610163/42241094-14163cc8-7f12-11e8-83ed-68021b5e3b33.gif" | width=410><img src="https://user-images.githubusercontent.com/22610163/42237904-d6a3ac22-7f07-11e8-88f8-5f21430d9503.gif" | width=410> </p> --- --- ### Object Tracking Mode (TensorFlow implementation): <p align="center"> <img src="https://user-images.githubusercontent.com/22610163/70389634-4682ea00-19d3-11ea-84a2-3996a43e98fe.gif" | width=410> <img src="https://user-images.githubusercontent.com/22610163/70389738-6bc42800-19d4-11ea-971f-f19cb5b90140.gif" | width=410> </p> <p align="center"> <img src="https://user-images.githubusercontent.com/22610163/70389764-e9883380-19d4-11ea-8c54-80935811c3fa.gif" | width=825> </p> - Tracking module was built on top of [this approach](https://github.com/kcg2015/Vehicle-Detection-and-Tracking). --- ### Object Counting On Single Image (TensorFlow implementation): <p align="center"> <img src="https://user-images.githubusercontent.com/22610163/47524870-7c830e80-d8a4-11e8-8fd1-741193615a04.png" | width=750></p> --- ### Object Counting based R-CNN ([Keras and TensorFlow implementation](https://github.com/ahmetozlu/tensorflow_object_counting_api/tree/master/mask_rcnn_counting_api)): <p align="center"> <img src="https://user-images.githubusercontent.com/22610163/57969852-0569b080-7983-11e9-8051-07d6766ca0e4.png" | width=750></p> ### Object Segmentation & Counting based Mask R-CNN ([Keras and TensorFlow implementation](https://github.com/ahmetozlu/tensorflow_object_counting_api/tree/master/mask_rcnn_counting_api)): <p align="center"> <img src="https://user-images.githubusercontent.com/22610163/57969871-1c100780-7983-11e9-9660-7b8571b01ff7.png" | width=750></p> --- ### BONUS: Custom Object Counting Mode (TensorFlow implementation): You can train TensorFlow models with your own training data to built your own custom object counter system! If you want to learn how to do it, please check one of the sample projects, which cover some of the theory of transfer learning and show how to apply it in useful projects, are given at below. **Sample Project#1: Smurf Counting** More info can be found in [**here**](https://github.com/ahmetozlu/tensorflow_object_counting_api/tree/master/smurf_counter_training)! <p align="center"> <img src="https://user-images.githubusercontent.com/22610163/62861574-9d6e0080-bd0c-11e9-9e38-b63226df8aa1.gif" | width=750> </p> **Sample Project#2: Barilla-Spaghetti Counting** More info can be found in [**here**](https://github.com/ahmetozlu/tensorflow_object_counting_api/tree/master/mask_rcnn_counting_api_keras_tensorflow/barilla_spaghetti_counter_training)! <p align="center"> <img src="https://user-images.githubusercontent.com/22610163/62903429-46e3df00-bd6b-11e9-9f97-4de477fa8769.png" | width=750> </p> --- ***The development is on progress! The API will be updated soon, the more talented and light-weight API will be avail
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Christian Clauss · Christian Clauss · Switzerland
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:3dde184b7fbdcd66, topic:computer-vision, topic:object-detection, topic:opencv
matched fp:3dde184b7fbdcd66, topic:deep-learning, topic:tensorflow