A repository with the source code to train an object detection model on a small dataset of annotated trash related images. The annotated objects in this dataset are garbage containers, garbage bags and cardboard.
☆19Jun 27, 2019Updated 6 years ago
Alternatives and similar repositories for garbage-object-detection
Users that are interested in garbage-object-detection are comparing it to the libraries listed below
Sorting:
- Implementation of Siamese Neural Network in Caffe☆12Jan 2, 2019Updated 7 years ago
- This the code of paper "Generative Adversarial Network Based Abnormal Behavior Detection in Massive Crowd Videos: A Hajj Case Study"☆11Jun 8, 2021Updated 4 years ago
- ☆10Sep 9, 2024Updated last year
- Compilation of R, Unix, Vi, Git, MD cheatsheets & more!☆13Oct 16, 2024Updated last year
- All the work done by me as part of IBM's CongnitiveClass "Applied Data Science with Python 🐍" Learning Path.☆11Jul 14, 2018Updated 7 years ago
- Docker compose and Google Colab demo to build a CDC with Delta Lake☆15Sep 7, 2022Updated 3 years ago
- Simple implementation of RAG with new Qwen 1.5 model using Ollama, Langchain and HuggingFaceEmbeddings.☆11Feb 7, 2024Updated 2 years ago
- Accelerating GOT-OCRv2 with VLLM☆11Nov 15, 2024Updated last year
- ☆11Nov 24, 2021Updated 4 years ago
- PyTorch Implementation of DeepWindows☆13Apr 14, 2022Updated 3 years ago
- Demo of building a flower image search using GNES Flow API☆14Mar 24, 2023Updated 2 years ago
- This is the multilabel image classification label tool☆13Feb 11, 2018Updated 8 years ago
- Object Detection using TensorFlow Lite☆13Apr 7, 2021Updated 4 years ago
- The open source implementation of the multi grouped query attention by the paper "GQA: Training Generalized Multi-Query Transformer Model…☆15Dec 11, 2023Updated 2 years ago
- hisi3519v101,fast-mtcnn,opencv,face detection☆16Oct 10, 2018Updated 7 years ago
- This repository contains the code of the Rasa workshop at PyData DC 2018☆12Nov 21, 2018Updated 7 years ago
- 很早之前用于接入Dify API到Next Web☆11Aug 28, 2023Updated 2 years ago
- This is a window detection dataset in street scene.☆12Mar 5, 2019Updated 7 years ago
- 适用于ChatGLM微调的数据集生成器, 支持多轮对话☆15Jul 22, 2023Updated 2 years ago
- Source code for paper "Localization Guided Learning for Pedestrian Attribute Recognition" (BMVC 2018)☆13Mar 1, 2019Updated 7 years ago
- From pytorch-mobilenetv3 to caffe☆16Aug 16, 2019Updated 6 years ago
- 完成分包拆包,使用ffmpeg完成音视频的RTMP推流☆14Dec 20, 2019Updated 6 years ago
- pytorchTocaffe☆11Mar 18, 2020Updated 5 years ago
- 一个利用小模型实现的本地文档脱敏工具☆28Apr 13, 2025Updated 10 months ago
- Pytorch Version of PP-LCNet☆12Jan 4, 2022Updated 4 years ago
- 从零构建了Agent中最重要的功能-function call☆18Oct 16, 2024Updated last year
- Bumps the version of a project based on latest commit and automatically creates a tag for it.☆11Aug 26, 2020Updated 5 years ago
- ☆14Sep 19, 2017Updated 8 years ago
- clip retrieval benchmark☆17May 4, 2022Updated 3 years ago
- Pytorch code for Tracklet Association Unsupervised Deep Learning (TAUDL)☆16Jan 5, 2021Updated 5 years ago
- An unofficial implementation of 'Inverse-Transform AutoEncoder for Anomaly Detection', paper see https://arxiv.org/abs/1911.10676☆13Aug 7, 2020Updated 5 years ago
- Crowd behavior recognition at sporting events using computer vision.☆15May 6, 2015Updated 10 years ago
- Simple Reinforcement learning example, based on the Q-function.☆18Jun 29, 2018Updated 7 years ago
- Using Debezium to capture data changes from databases and populate these as historic evolution and table replication in Snowflake☆24Oct 26, 2023Updated 2 years ago
- Official implementation of Paper Future Frame Prediction Using Convolutional VRNN for Anomaly Detection, AVSS 2019☆20Oct 13, 2019Updated 6 years ago
- Mosaico is an SBT-based build kit for cloud deployments.☆17Aug 19, 2017Updated 8 years ago
- source code of Adversarial Feedback Loop Paper☆18Jan 9, 2019Updated 7 years ago
- Caffe: a fast open framework for deep learning.☆14Jun 2, 2016Updated 9 years ago
- Official implementation of "Learning Not to Reconstruct" (BMVC 2021)☆19Dec 29, 2022Updated 3 years ago