Detect single objects in small, background-blurred and close-focused images
Object detection model (coco-ssd) in TensorFlow.js
Expo module for MLKit Object Detection
Scrypted OpenVINO Object Detection
Scrypted CoreML Object Detection
Scrypted ONNX Object Detection
NativeScript MLKit Object Detection module
Object Detection Nodes for Node-RED
Scrypted Tensorflow Lite Object Detection
Capacitor plugin for ML Kit Object Detection.
Pure AI model inference module - object detection, classification, and more
Tiny YOLO v2 object detection with tensorflow.js.
Scrypted NCNN Object Detection
Object Detection Classifier Service
A simple web console application for the object-detection package
A React Native library for object detection using MLKit
Standalone MLKit object detection for React Native
A Node-RED custom node that processes the Object Detection results
A package to smooth object detection results, from tflite model output
Object detection model (coco-ssd) in TensorFlow.js
NativeScript MLKit Custom Object Detection module
A simple object detection app using TensorFlow.js
Image processing & object detection utils
Scrypted Rockchip NPU Object Detection
The interface for object detection
A Rust-based pseudo-visual understanding tool. Analyzes screenshots, UI mockups, and real-world photos — detects UI components, recognizes text via OCR, identifies objects with YOLOE-26n.
High-performance RF-DETR object detection inference via ONNX Runtime (TensorRT / CUDA / CPU)
Object detection utilities in Rust programming language for YOLO-based neural networks in OpenCV ecosystem
ML model output decoding for YOLO and ModelPack object detection and segmentation
Parse, convert and evaluate bounding box annotations
Rust implementation of pycocotools — COCO dataset API for object detection, segmentation, and keypoint evaluation
CLI for COCO dataset evaluation
C ABI bridge for od_opencv, designed for Go CGO integration
Object detection utilities in Rust programming language for YOLO-based neural networks in OpenCV ecosystem
YOLO object detection model in Rust. Currently on YOLO v11.
YOLO object detection wrapper for OpenCV and ONNX in Rust
Detect if an Enumerable object contains at least/most x elements matching a condition.
A simple library for detecting objects in pictures.
Detects objects, explicit content, and scene changes in videos. It also specifies the region for annotation and transcribes speech to text. Supports both asynchronous API and streaming API. Note that google-cloud-video_intelligence-v1 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-video_intelligence instead. See the readme for more details.
Detects objects, explicit content, and scene changes in videos. It also specifies the region for annotation and transcribes speech to text. Supports both asynchronous API and streaming API. Note that google-cloud-video_intelligence-v1p2beta1 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-video_intelligence instead. See the readme for more details.
Detects objects, explicit content, and scene changes in videos. It also specifies the region for annotation and transcribes speech to text. Supports both asynchronous API and streaming API. Note that google-cloud-video_intelligence-v1beta2 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-video_intelligence instead. See the readme for more details.
Detects objects, explicit content, and scene changes in videos. It also specifies the region for annotation and transcribes speech to text. Supports both asynchronous API and streaming API. Note that google-cloud-video_intelligence-v1p1beta1 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-video_intelligence instead. See the readme for more details.
Detects objects, explicit content, and scene changes in videos. It also specifies the region for annotation and transcribes speech to text. Supports both asynchronous API and streaming API.
ChangeManager uses Resque and resque-scheduler to detect changes in ActiveRecord objects, then applies logic to them.
Detects objects, explicit content, and scene changes in videos. It also specifies the region for annotation and transcribes speech to text. Supports both asynchronous API and streaming API. Note that google-cloud-video_intelligence-v1p3beta1 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-video_intelligence instead. See the readme for more details.
Snuffle detects data clumps and other hints of extractable objects in your Ruby code.
Watch fluentd's resource (memory and object) via ObjectSpace to detect memory leaks
Detect invalid id field for GraphQL types by detecting divergent fields between nodes representing the same object
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