1.ultralytics / ultralytics
Ultralytics YOLO27, YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking
+3,138 stars
from 59,880 · score 8.05
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Ranked by Attention Score: stars gained over the last 90 complete days
12 repositories by Attention Score · Aug 5, 2026 – Nov 2, 2026 (UTC)
2.roboflow / supervision
We write your reusable computer vision tools. 💜
+2,959 stars
from 48,495 · score 7.99
3.ultralytics / yolov5
Ultralytics YOLOv5 in PyTorch for object detection, instance segmentation, classification, training, and export.
+653 stars
from 57,594 · score 6.48
4.open-mmlab / mmdetection
OpenMMLab Detection Toolbox and Benchmark
+240 stars
from 32,780 · score 5.48
5.wkentaro / labelme
Image annotation with Python. Supports polygon, rectangle, circle, line, point, and AI-assisted annotation.
+222 stars
from 16,029 · score 5.41
6.PaddlePaddle / PaddleDetection
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
+137 stars
from 14,315 · score 4.93
7.luigifreda / pyslam
pySLAM is a hybrid Python/C++ Visual SLAM pipeline supporting monocular, stereo, and RGB-D cameras. It provides a broad set of modern local and global feature extractors, multiple loop-closure strategies, a volumetric reconstruction module, integrated depth-prediction models, and semantic segmentation capabilities for enhanced scene understanding.
+50 stars
from 3,385 · score 3.93
8.matterport / Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
+43 stars
from 25,533 · score 3.78
9.dbolya / yolact
A simple, fully convolutional model for real-time instance segmentation.
+19 stars
from 5,233 · score 3.00
10.tusen-ai / simpledet
A Simple and Versatile Framework for Object Detection and Instance Recognition
+5 stars
from 3,083 · score 1.79
11.vanvalenlab / deepcell-tf
Deep Learning Library for Single Cell Analysis
+4 stars
from 477 · score 1.61
12.volume-em / empanada
Panoptic segmentation algorithms for 2D and 3D electron microscopy images
+2 stars
from 3 · score 1.10