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

Tool to evaluate deep-learning detection and segmentation models, and to create datasets

Keras/Tensorflow attention models including beit,botnet,CMT,CoaT,CoAtNet,convnext,cotnet,davit,efficientdet,efficientnet,fbnet,gmlp,halonet,lcnet,levit,mlp-mixer,mobilevit,nfnets,regnet,resmlp,resnest,resnext,resnetd,swin,tinynet,uniformer,volo,wavemlp,yolor,yolox

Trial on kaggle imagenet object localization by yolo v3 in google cloud

Object Tracking in Tensorflow ( Localization Detection Classification ) developed to partecipate to ImageNET VID competition

Real-time object detection on Android using the YOLO network with TensorFlow

Convert JSON annotations into YOLO format.

A PyTorch implementation of Spiking-YOLOv3. Two branches are provided, based on two common PyTorch implementation of YOLOv3(ultralytics/yolov3 & eriklindernoren/PyTorch-YOLOv3), with support for Spiking-YOLOv3-Tiny at present.

PSPNet in Chainer

PyTorch-based modular, configuration-driven framework for knowledge distillation. 🏆18 methods including SOTA are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy.

Implementation EfficientDet: Scalable and Efficient Object Detection in PyTorch

Etiketai is an online tool designed to label images, useful for training AI models

Yolo to COCO annotation format converter

Label images and video for Computer Vision applications

✏️ Web-based image segmentation tool for object detection, localization, and keypoints

Label Studio is a multi-type data labeling and annotation tool with standardized output format

Computer vision based ML training data generation tool 🚀

Focal Loss for Dense Object Detection.

SimpleAICV:pytorch training example on ImageNet(ILSVRC2012)/COCO2017/VOC2007+2012 datasets.Include ResNet/DarkNet/RetinaNet/FCOS/CenterNet/TTFNet/YOLOv3/YOLOv4/YOLOv5/YOLOX.

mean Average Precision - This code evaluates the performance of your neural net for object recognition.

Object Detection

To speedup and simplify image labeling/ annotation process with multiple supported formats.

Training examples and results for ImageNet(ILSVRC2012)/CIFAR100/COCO2017/VOC2007+VOC2012 datasets.Image Classification/Object Detection.Include ResNet/EfficientNet/VovNet/DarkNet/RegNet/RetinaNet/FCOS/CenterNet/YOLOv3.

RectLabel - An image annotation tool to label images for bounding box object detection and segmentation.

person detect based on yolov3 with several Python scripts

Fast Image Retrieval (FIRe) is an open source project to promote image retrieval research. It implements most of the major binary hashing methods to date, together with different popular backbone networks and public datasets.

Bottleneck Transformers for Visual Recognition

A Clone version from Original SegCaps source code with enhancements on MS COCO dataset.

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

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

திருக்குறள் by திருவள்ளுவர்.

Simple COCO Viewer in Tkinter

DroNet: Efficient convolutional neural network detector for Real-Time UAV applications

Object Detection API Tensorflow

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

Google PlayStore App dataset. (2.3 million App Data) and 24 attributes

some tools about pascal voc format dataset

PyTorch implementation of YOLO-v1 including training

ImageNet pre-trained SharpPeleeNet can be used in real-time Semantic Segmentation/Objects Detection

Yolov1 pytorch implement

ImageNet model implemented using the Keras Functional API

一些数据集处理相关的 API

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

No description or website provided.

A duplicate-free variant of the CIFAR test set.

A neural network for CounterStrike:GlobalOffensive character detection and classification. Built on a custom-made dataset (csgo-data-collector)

Scripts to work with LMDB + PyTorch for Imagenet training

YOLO Object Detection in Julia

Scripts to run and benchmark scRNA-seq cell cluster labeling methods

Autonomous driving - car detection using the very powerful YOLO model

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.

Autoencoder trained on ImageNet Using Torch 7

The back-end for the YOLOv3 object detector running as a webapp

[Archive] Intern project - Big Data Exploration using MongoDB - This Repository is NOT a supported MongoDB product

YOLO v3, v4, v5, v6, v7 + SORT tracking + ROS platform. Supporting: YOLO with Darknet, OpenCV(DNN), OpenVINO, TensorRT(tkDNN). SORT supports python(original) and C++. (Not Deep SORT)

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

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

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

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 !

Tool for autodownloading recommendation systems datasets