# ahmetozlu/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!

Repository: https://github.com/ahmetozlu/tensorflow_object_counting_api
Canonical: https://ross.abutalabs.com/products/tensorflow_object_counting_api
Homepage: https://www.youtube.com/watch?v=yT_1eKJTdfk
Language: Python
License: MIT
License Family: permissive
Topics: object-detection, object-counting, object-counting-api, object-detection-api, tensorflow, tensorflow-api, object-detection-label, object-detection-pipelines, opencv, computer-vision, machine-learning, image-processing, deep-learning, deep-neural-networks, data-science, tensorflow-object-detection-api, vehicle-counting, pedestrian-counting, shelf-management, shelf-navigation
Last push: 2024-08-30T23:54:53+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 2988, "days_push": 733, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1333, forks 541 (observed 2026-08-28T04:04:24.670834+00:00)

## What it is
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
- artifact type: framework
- maturity: maintenance
- function: computer-vision, image-processing, machine-learning, deep-learning
- domain: computer-vision, image-processing, machine-learning
- platform: python, cross-platform
- tags: object-detection, object-counting, object-tracking, tensorflow, keras, opencv, vehicle-counting, pedestrian-counting

## Member repositories
- ahmetozlu/tensorflow_object_counting_api (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:24.670834+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T04:44:40.120929+00:00, confidence not recorded.
  - readme: https://github.com/ahmetozlu/tensorflow_object_counting_api (fetched 2026-08-28T04:04:24.670834+00:00, sha e388f9b93166)
  - homepage: https://www.youtube.com/watch?v=yT_1eKJTdfk (fetched 2026-08-29T12:03:57.999697+00:00, sha 44136fa355b3)
- Data as of 2026-08-30T08:39:29.467469+00:00.