# coderonion/awesome-yolo-object-detection

🚀🚀🚀 A collection of some awesome public YOLO object detection series projects and the related object detection datasets.

Repository: https://github.com/coderonion/awesome-yolo-object-detection
Canonical: https://ross.abutalabs.com/products/awesome-yolo-object-detection
License Family: other
Topics: yolo, yolov5, tensorrt, object-detection, snn, yolov8, spiking-neural-network, cuda, llm, llama, vlm, datasets, deepseek, gui, rknn, object-detection-datasets, mllm, open-world-object-detection, qwen, few-shot-object-detection
Last push: 2025-05-31T02:13:33+00:00

## Health v2 (maintenance only)
Score: 43/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 24, release rhythm 35, longevity 100
- inputs: {"age_days": 1656, "days_push": 460, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1783, forks 239 (observed 2026-08-28T04:05:35.822475+00:00)

## What it is
A curated awesome-list of YOLO object detection projects, implementations, datasets, and deployment resources. It covers YOLO versions across many languages, inference engines like TensorRT and ONNX, and edge hardware deployment.

## Use cases
- find yolo implementations in different languages
- learn object detection with yolo
- deploy yolo models on edge devices like rk3588
- find object detection datasets
- speed up yolo inference with tensorrt or onnx
- compress yolo models with pruning and quantization

## When to choose
- you need a curated index of YOLO projects, papers, and datasets
- you are comparing YOLO implementations across frameworks and languages
- you want deployment resources for TensorRT, NCNN, OpenVINO, or NPU/FPGA hardware

## When to avoid
- you need a ready-to-run detection model rather than a link collection
- you need non-YOLO detection architectures like Faster R-CNN or DETR
- you expect maintained code - this is a list of links, not a library

## Facets
- artifact type: learning-resource
- maturity: active
- function: computer-vision, machine-learning, deep-learning
- domain: computer-vision, deep-learning, machine-learning, awesome-lists
- platform: cross-platform, python, cpp, rust, go
- tags: yolo, object-detection, awesome-list, tensorrt, model-deployment, datasets, edge-deployment, quantization, gpu

## Member repositories
- coderonion/awesome-yolo-object-detection (main) score 43

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:35.822475+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 2026-08-30T03:24:18.584257+00:00, confidence not recorded.
  - readme: https://github.com/coderonion/awesome-yolo-object-detection (fetched 2026-08-28T04:05:35.822475+00:00, sha 6a3ec2d389c7)
- Data as of 2026-08-30T08:39:29.467469+00:00.