InfluxDB Platform is powered by columnar analytics, optimized for cost-efficient storage, and built with open data standards. Learn more →
Ultralytics Alternatives
Similar projects and alternatives to ultralytics
-
Home Assistant
:house_with_garden: Open source home automation that puts local control and privacy first.
-
Scout Monitoring
Free Django app performance insights with Scout Monitoring. Get Scout setup in minutes, and let us sweat the small stuff. A couple lines in settings.py is all you need to start monitoring your apps. Sign up for our free tier today.
-
-
-
-
FLiPStackWeekly
FLaNK AI Weekly covering Apache NiFi, Apache Flink, Apache Kafka, Apache Spark, Apache Iceberg, Apache Ozone, Apache Pulsar, and more...
-
-
-
InfluxDB
Purpose built for real-time analytics at any scale. InfluxDB Platform is powered by columnar analytics, optimized for cost-efficient storage, and built with open data standards.
-
segment-anything
Discontinued The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
-
-
label-studio
Label Studio is a multi-type data labeling and annotation tool with standardized output format
-
detectron2
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
-
-
cvat
Discontinued Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale. [Moved to: https://github.com/cvat-ai/cvat]
-
server
The Triton Inference Server provides an optimized cloud and edge inferencing solution. (by triton-inference-server)
-
-
-
awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
-
super-gradients
Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.
-
-
boxmot
BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models
-
SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better ultralytics alternative or higher similarity.
ultralytics discussion
ultralytics reviews and mentions
Posts with mentions or reviews of ultralytics.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-07-31.
-
Using YOLO for Real-Time Object Detection with Koyeb GPUs
Next, install the Ultralytics YOLO library:
-
How to analyze document layout by YOLO
YOLO is the most advanced vision detection model. It is maintained by Ultralytics, a leading computer vision team. The model is easy to train, evaluate, and deploy. Plus, its size is compact enough to run in a browser or on a smartphone.
-
Mastering YOLOv10: A Complete Guide with Hands-On Projects
# Clone ultralytics repo git clone https://github.com/ultralytics/ultralytics # cd to local directory cd ultralytics # Install dependencies pip install -r requirements.txt
-
The CEO of Ultralytics (yolov8) using LLMs to engage with commenters on GitHub
Yep, I noticed this a while ago. It posts easily identifiable ChatGPT responses. It also posts garbage wrong answers which makes it worse than useless. Totally disrespectful to the userbase.
https://github.com/ultralytics/ultralytics/issues/5748#issue...
- FLaNK Weekly 08 Jan 2024
-
My kid sounds like ChatGPT, and soon yours might, too
There are obvious places it is being used that I have noticed organically. For instance, check out the answers in this repo:
https://github.com/ultralytics/ultralytics/issues/5748#issue...
If you read the answers there, the style of answering is always to repeat the question in a very specific way. Once you see it you can’t in-see it.
-
Exploring Open-Source Alternatives to Landing AI for Robust MLOps
When browsing the state-of-the-art in object detection on Papers with Code, I found the YOLO model to be one of the most popular, accurate, and fastest. That being said, I would recommend having a look at Ultralytics, which provides the tools to evaluate, predict, and export the latest versions of YOLO models with only a few lines of code.
- Instance segmentation of small objects in grainy drone imagery
-
Breaking the Myth: Object Detection Isn't Hard as Thought
YOLOv8 (You Only Look Once) is an open-source Computer Vision AI model released on January 10th, 2023. It’s called YOLO because it detects everything inside an image in a single pass. The new version can perform image detection, classification, instance segmentation, tracking, and pose estimation tasks.
-
A note from our sponsor - InfluxDB
www.influxdata.com | 18 Sep 2024
Stats
Basic ultralytics repo stats
30
28,446
9.9
1 day ago
ultralytics/ultralytics is an open source project licensed under GNU Affero General Public License v3.0 which is an OSI approved license.
The primary programming language of ultralytics is Python.
Sponsored
Free Django app performance insights with Scout Monitoring
Get Scout setup in minutes, and let us sweat the small stuff. A couple lines in settings.py is all you need to start monitoring your apps. Sign up for our free tier today.
www.scoutapm.com