roboflow-100-benchmark VS HugsVision

Compare roboflow-100-benchmark vs HugsVision and see what are their differences.

roboflow-100-benchmark

Code for replicating Roboflow 100 benchmark results and programmatically downloading benchmark datasets [Moved to: https://github.com/roboflow/roboflow-100-benchmark] (by roboflow-ai)
Computer Vision Deep Learning Machine Learning Dataset object-detection Pytorch

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HugsVision

HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision (by qanastek)
huggingface Transformers Computer Vision pretrained-models image-classification semantic-segmentation object-detection image-generation pythorch pytorch-transformers Yolo vit deit detr Pytorch Deep Learning Machine Learning state-of-the-art Bert torchvision
Source Code
pypi.org
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roboflow-100-benchmark HugsVision
1 1
103 188
- -
10.0 0.0
over 1 year ago 9 months ago
Jupyter Notebook Jupyter Notebook
MIT License MIT License
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roboflow-100-benchmark

Posts with mentions or reviews of roboflow-100-benchmark. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-12-28.
  • Roboflow 100: A New Object Detection Benchmark
    5 projects | news.ycombinator.com | 28 Dec 2022
    Thanks for sharing @jonbaer! Iā€™m one of the co-founders of Roboflow. Some additional resources and context:

    * Blog Post: https://blog.roboflow.com/roboflow-100/

    * Paper: https://arxiv.org/abs/2211.13523

    * Github: https://github.com/roboflow-ai/roboflow-100-benchmark

    At Roboflow, we've seen users fine-tune hundreds of thousands of computer vision models on custom datasets.

    We observed that there's a huge disconnect between the types of tasks people are actually trying to perform in the wild and the types of datasets researchers are benchmarking their models on.

    Datasets like MS COCO (with hundreds of thousands of images of common objects) are often used in research to compare models' performance, but then those models are used to find galaxies, look at microscope images, or detect manufacturing defects in the wild (often trained on small datasets containing only a few hundred examples). This leads to big discrepancies in models' stated and real-world performance.

HugsVision

Posts with mentions or reviews of HugsVision. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing roboflow-100-benchmark and HugsVision you can also consider the following projects:

make-sense - Free to use online tool for labelling photos. https://makesense.ai

poolformer - PoolFormer: MetaFormer Is Actually What You Need for Vision (CVPR 2022 Oral)

roboflow-100-benchmark - Code for replicating Roboflow 100 benchmark results and programmatically downloading benchmark datasets

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.

sahi - Framework agnostic sliced/tiled inference + interactive ui + error analysis plots

fashionpedia-api - Python API for Fashionpedia Dataset

yolov5 - YOLOv5 šŸš€ in PyTorch > ONNX > CoreML > TFLite

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

roboflow-100-benchmark vs make-sense HugsVision vs poolformer roboflow-100-benchmark vs roboflow-100-benchmark HugsVision vs Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning roboflow-100-benchmark vs sahi HugsVision vs fashionpedia-api roboflow-100-benchmark vs yolov5 HugsVision vs ganspace roboflow-100-benchmark vs Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning HugsVision vs CoordConv HugsVision vs Transformer-Explainability HugsVision vs Vision-Project-Image-Segmentation