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a-pytorch-tutorial-to-object-detection

SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection

aima-python

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

awesome-cbir-papers

📝Awesome and classical image retrieval papers

bounding_box_regression_tf

Explore Bounding Box Regression in Object Detection with TensorFlow.

car-resale-price-prediction

I have build Random forest Regressor model on Vehicle dataset from cardekho to predict the value of cars

cnnimageretrieval-pytorch

CNN Image Retrieval in PyTorch: Training and evaluating CNNs for Image Retrieval in PyTorch

cntk

Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

csp

High-level Semantic Feature Detection: A New Perspective for Pedestrian Detection, CVPR, 2019

csp-pedestrian-detection

A faster pytorch implementation of 'Center and Scale Prediction (CSP) for pedestrain detection (CVPR19)'.

deep-tutorials-for-pytorch

In-depth tutorials for implementing deep learning models on your own with PyTorch.

dissertation-mtech

I am a MTech Student from NSUT Delhi. This is my github repo for all the work that I will be doing as a part of my MTech Dissertation

draw-yolo-box

Draw bounding boxes on raw images based on YOLO format annotation. Help to check the correctness of annotation and extract the images with wrong boxes.

flower-identification-using-tensorflow

hands-on-ml-dl

Just hands on practice of whatever I come across on the internet regarding ML and AI

keras-resnet

Residual networks implementation using Keras-1.0 functional API

map

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

metrics

Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave

mmdetection

Open MMLab Detection Toolbox with PyTorch

models

Models and examples built with TensorFlow

object-detection

object-detection-using-faster-rcnn

object-localization

Object localization in images using simple CNNs and Keras

objectdetectionrcnn

personal-projects

playground

Play with neural networks!

review_object_detection_metrics

Object Detection Metrics. 14 object detection metrics: mean Average Precision (mAP), Average Recall (AR), Spatio-Temporal Tube Average Precision (STT-AP). This project supports different bounding box formats as in COCO, PASCAL, Imagenet, etc.

rtsp-camera-object-detection-api

An API for IP camera video streaming and object detection with DETR or Faster-RCNN

sentiment-analysis

sku110k-evaluation

evaluation code for SKU110K dataset

stanford-tensorflow-tutorials

This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.