sidml / Stanford-Cars-ClassificationLinks
Stanford Cars Classification using keras and fastai
☆22Updated 6 years ago
Alternatives and similar repositories for Stanford-Cars-Classification
Users that are interested in Stanford-Cars-Classification are comparing it to the libraries listed below
Sorting:
- Python lib for remo - the app for annotations and images management in Computer Vision☆187Updated 4 years ago
- A Tensorflow2.0 implementation of Single Shot Detector☆33Updated 4 years ago
- A tutorial for using YOLACT in Google Colab☆36Updated 5 years ago
- This repository builds a product detection model to recognize products from grocery shelf images.☆96Updated 4 years ago
- Detection masks on faces.☆29Updated 4 years ago
- This project presents a simple framework to retrieve images similar to a query image.☆28Updated 4 years ago
- A simple YOLOv3 object detection API in Python (using Flask).☆15Updated 4 years ago
- Multi class multi instance tracking . You can also perform custom multi object tracking☆15Updated 2 years ago
- An implementation of GhostNet for Tensorflow 2.0+ (From the paper "GhostNet: More Features from Cheap Operations")☆38Updated 2 years ago
- This project demonstrates the use of TensorFlow Object Detection API to automatically number plates (Indian) from vehicles☆40Updated 5 years ago
- Yolo-V3 implementation from scratch in pytorch☆41Updated 5 years ago
- Spot Garbage Dataset☆89Updated 7 years ago
- Showcases the use of deep learning to detect wheat heads from crops. The project is based on: https://www.kaggle.com/c/global-wheat-detec…☆18Updated 5 years ago
- High Performance Tensorflow Data Pipeline with State of Art Augmentations and low level optimizations.☆86Updated 3 years ago
- Keras implementation of RetinaNet for object detection and visual relationship identification☆30Updated 4 years ago
- Streamlit tool to explore coco datasets☆88Updated 3 years ago
- Yolov5 : You Look Only Once v5 Learning Resources and Collection☆48Updated 4 years ago
- Light Face Detection using PyTorch Lightning☆83Updated last year
- Unofficial Colab on how to train DETR, the intelligent object detector, with your own dataset. DETR = Detection Transformer☆40Updated 5 years ago
- This is a deep learning model for detecting the potholes on roads. The model is using YOLO-v2.☆83Updated 2 years ago
- A Graphical user Interface for deep learning and computer vision over Monk Libraries☆124Updated 4 years ago
- ☆14Updated 6 years ago
- This data-set includes 10480 images including three folders namely Accident –Detection, Vehicles-in-Accidents and Accident-Severity. The …☆23Updated 6 years ago
- Custom implementation of EfficientDet https://arxiv.org/abs/1911.09070☆97Updated 2 years ago
- Tutorial on building and deploying a Mobile Deep Learning Classifier for food☆65Updated 2 years ago
- ☆15Updated 4 years ago
- Code for our paper CPPE - 5 (Medical Personal Protective Equipment), a new challenging object detection dataset☆69Updated 10 months ago
- A TensorFlow implementation of hybird CNN-LSTM model with CTC loss for OCR problem☆32Updated 6 years ago
- SSD: Single Shot MultiBox Detector pytorch implementation focusing on simplicity☆168Updated 4 years ago
- ☆156Updated 2 years ago