pascal-voc topic
mAP
mean Average Precision - This code evaluates the performance of your neural net for object recognition.
OpenLabeling
Label images and video for Computer Vision applications
GuidedLabelling
Exploiting Saliency for Object Segmentation from Image Level Labels, CVPR'17
deeptraining_hands
Dataset, necessary Scripts and trained SSD Model for detecting Hands in Realtime.
pytorch-auto-drive
PytorchAutoDrive: Segmentation models (ERFNet, ENet, DeepLab, FCN...) and Lane detection models (SCNN, RESA, LSTR, LaneATT, BézierLaneNet...) based on PyTorch with fast training, visualization, benchm...
Object-Detection-Metrics
Most popular metrics used to evaluate object detection algorithms.
make-sense
Free to use online tool for labelling photos. https://makesense.ai
Unsupervised-Semantic-Segmentation
Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals. [ICCV 2021]
torchdistill
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. 🎁 Traine...