gliese581gg/YOLO_tensorflow

Health v2 · maintenance only

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Adoption not part of the score

1708 stars · 637 forks observed · 2026-08-28

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

A TensorFlow implementation of YOLO (Real-Time Object Detection) that runs inference with pretrained YOLO_small, YOLO_tiny, and YOLO_face networks converted from darknet weights. It supports prediction only—training must be done with darknet—and can be used from the command line or imported into other Python scripts.

Use cases

• detect objects in images with pretrained YOLO
• run YOLO inference in tensorflow
• convert darknet weights to tensorflow checkpoints
• detect faces in images with YOLO_face
• import YOLO detector into my python script
• output bounding boxes and class probabilities to a text file

When to choose

• you need a simple, scriptable YOLO inference implementation in TensorFlow 1.x
• you want to reuse existing darknet YOLO weights without retraining
• you need a lightweight object detector importable into Python pipelines

When to avoid

• you need to train or fine-tune YOLO models
• you need modern TensorFlow 2.x or current YOLO versions (v3+)
• you need commercial use—the license forbids it
• you need actively maintained code with recent updates

Facets

library · maturity abandoned

computer-vision image-processing machine-learning deep-learning computer-vision image-processing machine-learning deep-learning python cross-platform yolo object-detection tensorflow pretrained-models inference-only darknet-weights

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markdown · JSON · MCP: product_card(name="gliese581gg/YOLO_tensorflow")