EricKiennemann / Fruit-Detection-with-Yolov4Links
A deep learning model developed in the frame of the applied masters of Data Science and Data Engineering. We propose here an application to detect 4 different fruits and a validation step that relies on gestural detection. A full report can be read in the README.md. Authors : F. Braza, S. Murphy, S. Castier, E. Kiennemann
☆17Updated 4 years ago
Alternatives and similar repositories for Fruit-Detection-with-Yolov4
Users that are interested in Fruit-Detection-with-Yolov4 are comparing it to the libraries listed below
Sorting:
- Underwater Object Detection using PyTorch☆13Updated 5 years ago
- ☆12Updated last year
- Food object detection with base Faster R-CNN TensorFlow model with k-fold cross validation, resulting in volume estimation and producing …☆17Updated 4 years ago
- ☆13Updated 4 years ago
- We use our VDEmodel. Our purpose is that predict the distance between car based on Deep-Learning.☆18Updated 2 years ago
- Code of paper "A new baseline for edge detection: Make Encoder-Decoder great again"☆40Updated 4 months ago
- A DeepLab V3+ Model with choice of Encoder for Binary Segmentation. Implemented with Tensorflow.☆18Updated last year
- The notebooks show our modest contribution to the Deep Learning community interested in Precision Agriculture problems.☆19Updated last year
- [CVPRW 2024] Low-Light Image Enhancement Framework for Improved Object Detection in Fisheye Lens Datasets☆20Updated last year
- Building Custom Object Detection model on VisDrone2021 dataset☆20Updated 4 years ago
- ☆12Updated 4 years ago
- General Computer Vision Projects☆67Updated 9 months ago
- 3D Object Detection (iHack IIT Bombay) - Deep Learning based real-Time solution using YOLO and Fast RCNN☆38Updated 4 years ago
- A structured streaming was applied to the robot data from ROS-Gazebo simulation environment using Apache Spark. Data is collected in Kafk…☆19Updated 3 years ago
- This code is for the paper "e-TransUNet: TransUNet provides a strong spatial transformation for precise deforestation mapping" that is pu…☆12Updated last year
- Incorporating Inductive Bias into Deep Learning: A Perspective from Automated Visual Inspection in Aircraft Maintenance☆57Updated 5 years ago
- ☆45Updated last year
- Source code for our paper "AdapterShadow: Adapting Segment Anything Model for Shadow Detection"☆15Updated 5 months ago
- A CNN (Convolutional Neural Network) model to automatically classify images of building construction that show deficient work, with crack…☆17Updated 5 years ago
- This repository is about an implementation of SegNet a Convolution-Deconvolution neural network for semantic segmentation trained from sc…☆18Updated 8 months ago
- This project combines YOLO object detection with Intel's MiDaS depth estimation.☆19Updated 10 months ago
- Real-time path-planning from 3D reconstruction and depth estimation: an algorithm for calibrated stereo cameras.☆49Updated 4 years ago
- Mamba meets crack segmentation☆20Updated 6 months ago
- Lightweight models for real-time semantic segmentationon PyTorch (include SQNet, LinkNet, SegNet, UNet, ENet, ERFNet, EDANet, ESPNet, ESP…☆11Updated last year
- 1D CNN to do classification☆10Updated 6 years ago
- Crack Detection On Highway Or Pavement Using OpenCV☆156Updated last year
- ☆13Updated last year
- Deep Convolutional Encoder-Decoder network for image segmentation☆16Updated 5 years ago
- Code for SCAResNet: A ResNet Variant Optimized for Tiny Object Detection in Transmission and Distribution Towers. IEEE Geoscience and Rem…☆18Updated last year
- Different Self Driving Car Projects☆54Updated 6 months ago