model_zoo
HugsVision
model_zoo | HugsVision | |
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1 | 1 | |
3 | 188 | |
- | - | |
7.6 | 0.0 | |
9 months ago | 9 months ago | |
Shell | Jupyter Notebook | |
MIT License | MIT License |
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model_zoo
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Hi do you guys have any labelled dataset for training small robots ro recognize common objects?
You may want to try the Remyx engine - you can train a model by describing the labels you want without having to upload labeled data. Here's a demo. Your first model is free :) Here is our model zoo with some common object models that might be useful too.
HugsVision
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[R] HugsVision: A easy-to-use HuggingFace wrapper for computer vision
Find more tutorials and informations about HugsVision on GitHub
What are some alternatives?
video-inference - Example showing how to do inference on a video file with Roboflow Infer
poolformer - PoolFormer: MetaFormer Is Actually What You Need for Vision (CVPR 2022 Oral)
Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning - My Computer Vision project from my Computer Vision Course (Fall 2020) at Goethe University Frankfurt, Germany. Performance comparison between state-of-the-art Object Detection algorithms YOLO and Faster R-CNN based on the Berkeley DeepDrive (BDD100K) Dataset.
fashionpedia-api - Python API for Fashionpedia Dataset
ganspace - Discovering Interpretable GAN Controls [NeurIPS 2020]
CoordConv
Transformer-Explainability - [CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.
Vision-Project-Image-Segmentation
T2T-ViT - ICCV2021, Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet
CoordConv - Pytorch implementation of "An intriguing failing of convolutional neural networks and the CoordConv solution" - https://arxiv.org/abs/1807.03247
labelme2coco - A lightweight package for converting your labelme annotations into COCO object detection format.
Human-Segmentation-PyTorch - Human segmentation models, training/inference code, and trained weights, implemented in PyTorch