anishathalye / imagenet-simple-labels
Simpler human-readable labels for ImageNet š·
ā132Updated 2 months ago
Alternatives and similar repositories for imagenet-simple-labels:
Users that are interested in imagenet-simple-labels are comparing it to the libraries listed below
- ImageNet-R(endition) and DeepAugment (ICCV 2021)ā264Updated 3 years ago
- ImageNet Testbed, associated with the paper "Measuring Robustness to Natural Distribution Shifts in Image Classification."ā118Updated last year
- A new test set for ImageNetā250Updated last year
- ā140Updated 4 years ago
- Labels and other data for the paper "Are we done with ImageNet?"ā191Updated 3 years ago
- Python library for argument and configuration managementā53Updated 2 years ago
- Notebooks for reproducing the paper "Computer Vision with a Single (Robust) Classifier"ā128Updated 5 years ago
- ā95Updated 2 years ago
- Crowdsourcing metrics and test datasets beyond ImageNet (ICML 2022 workshop)ā38Updated 11 months ago
- Learning to See by Looking at Noiseā109Updated 5 months ago
- ImageNet-Sketch data set for evaluating model's ability in learning (out-of-domain) semantics at ImageNet scaleā215Updated 2 years ago
- ā54Updated 4 years ago
- Train ImageNet *fast* in 500 lines of code with FFCVā142Updated 11 months ago
- MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts and Training Conflicts (ICLR 2022)ā109Updated 2 years ago
- PixMix: Dreamlike Pictures Comprehensively Improve Safety Measures (CVPR 2022)ā106Updated 2 years ago
- Robustness and adaptation of ImageNet scale models. Pre-Release, stay tuned for updates.ā135Updated last year
- ā184Updated last year
- š ļø Corrected Test Sets for ImageNet, MNIST, CIFAR, Caltech-256, QuickDraw, IMDB, Amazon Reviews, 20News, and AudioSetā184Updated 2 years ago
- ā133Updated 4 years ago
- REVISE: A Tool for Measuring and Mitigating Bias in Visual Datasets --- https://arxiv.org/abs/2004.07999ā110Updated 2 years ago
- Implementation of Estimating Training Data Influence by Tracing Gradient Descent (NeurIPS 2020)ā230Updated 3 years ago
- Self-supervised learning through the eyes of a childā141Updated 3 years ago
- Code release for REPAIR: REnormalizing Permuted Activations for Interpolation Repairā47Updated last year
- Batch equivalent of PyTorch Transforms.ā38Updated 3 years ago
- Understanding Training Dynamics of Deep ReLU Networksā290Updated 2 months ago
- Code for the Proceedings of the National Academy of Sciences 2020 article, "Understanding the Role of Individual Units in a Deep Neural Nā¦ā303Updated 4 years ago
- 1000 images, one per image-net class. For easy visualization/exploration of classes.ā158Updated 2 years ago
- ā324Updated last week
- ā107Updated last year
- Benchmark your model on out-of-distribution datasets with carefully collected human comparison data (NeurIPS 2021 Oral)ā345Updated last week