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#2 MMDetection
Open‑source toolbox based on PyTorch offering a unified benchmark for object detection and instance segmentation with many model zoos.
Google’s official library for building, training, and deploying object detection models on TensorFlow.
#4 YOLOv5
Ultralytics’ PyTorch implementation of the YOLO family—fast, easy to train, and widely used for real‑time detection.
#5 YOLOv8
The latest YOLO release from Ultralytics, supporting detection, segmentation, and classification with a unified API.
Original C‑based framework behind YOLOv1‑v4, known for its speed and simplicity.
#7 EfficientDet
Google’s scalable object detector that balances accuracy and latency using compound scaling.
Deep‑learning inference engine built into OpenCV, supporting many pre‑trained detection models.
High‑level library on top of PyTorch that simplifies training of state‑of‑the‑art detection and segmentation models.
#10 KerasCV
Keras‑native computer‑vision library offering ready‑to‑use detection, segmentation, and augmentation pipelines.
#11 GluonCV
MXNet‑based toolkit providing a rich collection of pre‑trained models for detection, segmentation, and pose estimation.
#12 SimpleCV
Beginner‑friendly Python framework for building computer‑vision applications, including basic detection utilities.
Collection of ready‑to‑use PyTorch Lightning models for detection and segmentation, streamlining research and production.
#14 DeepLab
Google’s semantic‑segmentation architecture (DeepLabv3+, etc.) available via TensorFlow and PyTorch implementations.
#15 SegFormer
Transformer‑based segmentation model that delivers high accuracy with low computational cost.
Baidu’s open‑source detection toolbox built on PaddlePaddle, supporting a wide range of algorithms.
iOS/macOS native framework for on‑device object detection, face detection, and image classification.
Fully managed AWS service that provides image and video analysis, including object and scene detection.
Azure AI service allowing you to train custom object detection models with a low‑code interface.
Cloud‑based API for classifying images, detecting objects, and creating custom models.
#21 Roboflow
End‑to‑end platform for dataset management, preprocessing, and exporting detection models to multiple frameworks.