There are 5 repositories under pascal-voc topic.
We write your reusable computer vision tools. 💜
Most popular metrics used to evaluate object detection algorithms.
Free to use online tool for labelling photos. https://makesense.ai
Pretrained DeepLabv3 and DeepLabv3+ for Pascal VOC & Cityscapes
Implementation EfficientDet: Scalable and Efficient Object Detection in PyTorch
A coding-free framework built on PyTorch for reproducible deep learning studies. 🏆25 knowledge distillation methods presented at CVPR, ICLR, ECCV, NeurIPS, ICCV, etc are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy and benchmark.
DeepLab-ResNet rebuilt in TensorFlow
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.
To speedup and simplify image labeling/ annotation process with multiple supported formats.
Label images and video for Computer Vision applications
DeepLabv3+ built in TensorFlow
PytorchAutoDrive: Segmentation models (ERFNet, ENet, DeepLab, FCN...) and Lane detection models (SCNN, RESA, LSTR, LaneATT, BézierLaneNet...) based on PyTorch with fast training, visualization, benchmarking & deployment help
Real-time object detection on Android using the YOLO network with TensorFlow
DeepLab resnet v2 model in pytorch
Dataset Management Framework, a Python library and a CLI tool to build, analyze and manage Computer Vision datasets.
[CVPR'22] Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels
Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals. [ICCV 2021]
Convert between visual object detection datasets
DeepLabv3 built in TensorFlow
DeepLab-ResNet rebuilt in Pytorch
Weakly-Supervised Semantic Segmentation Network with Deep Seeded Region Growing (CVPR 2018).
Tools for converting Label Studio annotations into common dataset formats
DeepLab-LargeFOV implemented in tensorflow
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.
Lacmus is a cross-platform application that helps to find people who are lost in the forest using computer vision and neural networks.
Code, data and benchmark from the paper "Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming" (NeurIPS 2019 ML4AD)
An (re-)implementation of DeepLab v2 (ResNet-101) in TensorFlow for semantic image segmentation on the PASCAL VOC 2012 dataset.
目标检测 - R-CNN算法实现