ahmetozlu/tensorflow_object_counting_api

Health v2 · maintenance only

Adoption not part of the score

1333 stars · 541 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

An open-source framework built on TensorFlow and Keras that simplifies developing object counting systems. It supports cumulative counting, real-time counting, object tracking, and Mask R-CNN based segmentation counting.

Use cases

• count vehicles passing through a road in a video
• count pedestrians in real time from a camera feed
• count objects in a single image
• track and count objects across video frames
• build a custom object counter with my own training data
• segment and count objects using Mask R-CNN

When to choose

• you need object counting on top of TensorFlow detection models
• you want ready-made counting modes for vehicles or pedestrians
• you want a simple Python API for detection-based counting demos

When to avoid

• you need state-of-the-art detection or tracking accuracy in production
• you use PyTorch or modern TF2 pipelines exclusively
• you need actively maintained dependencies and recent updates

Facets

framework · maturity maintenance

computer-vision image-processing machine-learning deep-learning computer-vision image-processing machine-learning python cross-platform object-detection object-counting object-tracking tensorflow keras opencv vehicle-counting pedestrian-counting

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