642 Open source projects that are alternatives of or similar to datumaro

Implementation of Weakly Supervised Deep Detection Networks using the latest version of PyTorch

Computer Vision application in the web

திருக்குறள் by திருவள்ளுவர்.

🐛 🐛 Opencv视频流传输到网页浏览器并做目标检测 🐛 🐛

Examples for usage of Mindsdb https://www.mindsdb.com/

php ffi darknet

Object Detection API Tensorflow

Vehicle Detection Using Deep Learning and YOLO Algorithm

Collection of Kaggle Datasets ready to use for Everyone (Looking for contributors)

An open-source toolkit which is full of handy functions, including the most used models and utilities for deep-learning practitioners!

some tools about pascal voc format dataset

OpenCV based DNN Object Detection Library for Openframeworks

PyTorch implementation of YOLO-v1 including training

🍔🍟🍗 Food analysis baseline with Theseus. Integrate object detection, image classification and multi-class semantic segmentation. 🍞🍖🍕

A python package for scraping oddsportal.com

一些数据集处理相关的 API

Python package for data.world

C development system for (Nitr)OS9/6x09, with source

Train faster rcnn on imagine dataset, related blog post: https://andrewliao11.github.io/object/detection/2016/07/23/detection/

Extended COCO-API

No description or website provided.

🚓 Crime dataset for the City of Buenos Aires, Argentina

Scripts to work with LMDB + PyTorch for Imagenet training

License plate parsing using Darknet and YOLO

YOLO Object Detection in Julia

Open-source Monocular Python HawkEye for Tennis

Autonomous driving - car detection using the very powerful YOLO model

Detect vehicles in a video

KAPAO is an efficient single-stage human pose estimation model that detects keypoints and poses as objects and fuses the detections to predict human poses.

🤖 Cozmo the Robot recognizes objects with TensorFlow

[ECCV 2020] Scale Adaptive Network: Learning to Learn Parameterized Classification Networks for Scalable Input Images

implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)

おーぷん2ちゃんねるをクロールして作成した対話コーパス

No description or website provided.

Abnormal behavior detection in the video surveillance based on yolo darknet

Mainly use SSD, YOLO and other models to solve the target detection problem in image and video !

Collection of NLP model explanations and accompanying analysis tools

Tool for autodownloading recommendation systems datasets

73.6% GhostNet 1.0x pre-trained model on ImageNet

⚽️ Extract, prepare and publish Transfermarkt datasets.

A collection of resources on dynamic/streaming/temporal/evolving graph processing systems, databases, data structures, datasets, and related academic and industrial work

A forked AlexeyAB Darknet repo with extra convenient functions.

Darknet with NNPACK

Routines and data structures for using isarn-sketches idiomatically in Apache Spark

A collection of publicly available bug reports

Information of public available data sets for biomechanics.

Useful links of different content related to AI, Computer Vision, and Robotics.

[IEEE Access] "Head Network Distillation: Splitting Distilled Deep Neural Networks for Resource-constrained Edge Computing Systems" and [ACM MobiCom HotEdgeVideo 2019] "Distilled Split Deep Neural Networks for Edge-assisted Real-time Systems"

Python library for computer vision labeling tasks. The core functionality is to translate bounding box annotations between different formats-for example, from coco to yolo.

Papers, Datasets, Algorithms, SOTA for STR. Long-time Maintaining

The Official PyTorch Implementation of DiscoBox.

Training Low-bits DNNs with Stochastic Quantization

Utilities to read ESC/POS print data

YOLO v3 and Tiny YOLO v1, v2, v3 with Tensorflow.js

Parametric Contrastive Learning (ICCV2021)

Find vacant parking spots in indoor and outdoor locations

custom implementation alexnet with tensorflow

Machine Learning eXchange (MLX). Data and AI Assets Catalog and Execution Engine

R library for data.world

Nested Hierarchical Transformer https://arxiv.org/pdf/2105.12723.pdf