# llSourcell/YOLO_Object_Detection

This is the code for "YOLO Object Detection" by Siraj Raval

Repository: https://github.com/llSourcell/YOLO_Object_Detection
Canonical: https://ross.abutalabs.com/products/yolo_object_detection
Language: Python
License: GPL-3.0
License Family: copyleft
Last push: 2020-10-01T11:04:40+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3213, "days_push": 2162, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1771, forks 788 (observed 2026-08-28T04:05:34.137158+00:00)

## What it is
Companion code for Siraj Raval's YouTube video on YOLO object detection, built on the darkflow TensorFlow implementation of real-time object detection and classification. It serves as an educational resource demonstrating how to run, configure, and fine-tune YOLO models rather than being a maintained detection library itself.

## Use cases
- learn how YOLO object detection works
- run real-time object detection on images and video with tensorflow
- follow along with a tutorial on object detection in python
- fine-tune a pretrained yolo model on custom classes
- understand darknet yolo config files and annotations
- experiment with yolo v1 and v2 weight files

## When to choose
- you are learning object detection concepts from a video tutorial
- you want a minimal, readable example of running YOLO with TensorFlow 1.x
- you need to see how darkflow handles labels, configs, and training

## When to avoid
- you need a maintained, production-ready object detection library
- you use modern TensorFlow 2.x or PyTorch
- you need recent YOLO versions like YOLOv5, YOLOv8, or newer
- you require support, bug fixes, or up-to-date dependencies

## Facets
- artifact type: learning-resource
- maturity: abandoned
- function: computer-vision, image-processing, machine-learning, deep-learning
- domain: computer-vision, deep-learning, machine-learning, tutorials
- platform: python, cross-platform
- tags: yolo, object-detection, darkflow, tensorflow, educational-code, siraj-raval, video-companion

## Member repositories
- llSourcell/YOLO_Object_Detection (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:34.137158+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 2026-08-30T03:26:00.611190+00:00, confidence not recorded.
  - readme: https://github.com/llSourcell/YOLO_Object_Detection (fetched 2026-08-28T04:05:34.137158+00:00, sha 66f665600857)
- Data as of 2026-08-30T08:39:29.467469+00:00.