| Name | Version | Summary | date |
| ultralytics |
8.3.53 |
Ultralytics YOLO 🚀 for SOTA object detection, multi-object tracking, instance segmentation, pose estimation and image classification. |
2024-12-22 01:04:15 |
| bdd100-to-yolo |
0.0.3 |
Invert BDD100 dataset to YOLO dataset |
2024-12-14 03:40:25 |
| hub-sdk |
0.0.17 |
Ultralytics HUB Client SDK. |
2024-12-08 17:03:37 |
| monitrix |
0.0.3.dev0 |
An advanced monitoring tool with OCR and image recognition capabilities |
2024-12-06 00:57:44 |
| aipose |
3.1.0 |
Library to use pose estimation in your projects easily |
2024-11-30 21:08:33 |
| syml-ultralytics |
8.3.38 |
Ultralytics YOLO 🚀 for SOTA object detection, multi-object tracking, instance segmentation, pose estimation and image classification. |
2024-11-27 10:45:13 |
| boxmot |
11.0.6 |
BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models |
2024-11-22 09:07:20 |
| globox |
2.4.7 |
Globox is a package and command line interface to read and convert object detection databases (COCO, YOLO, PascalVOC, LabelMe, CVAT, OpenImage, ...) and evaluate them with COCO and PascalVOC. |
2024-11-20 23:17:12 |
| vsensebox-ultralytics |
8.3.34 |
Ultralytics YOLO for SOTA object detection, multi-object tracking, instance segmentation, pose estimation and image classification. |
2024-11-20 10:22:00 |
| ultralyticsheadless |
8.3.33 |
Ultralytics YOLO 🚀 for SOTA object detection, multi-object tracking, instance segmentation, pose estimation and image classification. |
2024-11-19 13:40:29 |
| ultralytics-headless |
8.3.33 |
Ultralytics YOLO 🚀 for SOTA object detection, multi-object tracking, instance segmentation, pose estimation and image classification. |
2024-11-18 17:28:24 |
| yolov5 |
7.0.14 |
Packaged version of the Yolov5 object detector |
2024-11-11 21:30:26 |
| mmdlp |
0.0.1 |
Deep Learning Projects base on OpenMMLab. |
2024-10-29 15:26:05 |
| cvpal |
1.0.2 |
A Python library for every Computer Vision Engineer |
2024-10-14 20:36:44 |
| tensorrt-yolo |
4.3.1 |
Your YOLO Deployment Powerhouse. With the synergy of TensorRT Plugins, CUDA Kernels, and CUDA Graphs, experience lightning-fast inference speeds. |
2024-10-14 08:21:19 |
| doclayout-yolo |
0.0.1 |
Ultralytics YOLOv8 for SOTA object detection, multi-object tracking, instance segmentation, pose estimation and image classification. |
2024-10-11 09:10:45 |
| ultralytics-v11 |
8.3.9 |
Ultralytics YOLO for SOTA object detection, multi-object tracking, instance segmentation, pose estimation and image classification. |
2024-10-10 12:38:53 |
| UltraDetect |
8.3.18 |
Customized Ultralytics YOLO for SOTA object detection, multi-object tracking, instance segmentation, pose estimation and image classification. |
2024-10-09 10:24:10 |
| Robocon-24 |
1.0.1 |
This project is designed to detect balls and make decisions based on their positions in the context of a Robocon competition. |
2024-09-26 07:44:55 |
| ultralytics-export-to-rknn |
2.0.1 |
Ultralytics YOLOv8 for SOTA object detection, multi-object tracking, instance segmentation, pose estimation and image classification. |
2024-09-17 09:31:34 |