ORBIT-Dataset VS mmfewshot

Compare ORBIT-Dataset vs mmfewshot and see what are their differences.

ORBIT-Dataset

The ORBIT dataset is a collection of videos of objects in clean and cluttered scenes recorded by people who are blind/low-vision on a mobile phone. The dataset is presented with a teachable object recognition benchmark task which aims to drive few-shot learning on challenging real-world data. (by microsoft)

mmfewshot

OpenMMLab FewShot Learning Toolbox and Benchmark (by open-mmlab)
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ORBIT-Dataset mmfewshot
2 2
86 660
- 1.8%
0.0 0.0
16 days ago 8 months ago
Python Python
MIT License Apache License 2.0
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ORBIT-Dataset

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

mmfewshot

Posts with mentions or reviews of mmfewshot. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-11-21.

What are some alternatives?

When comparing ORBIT-Dataset and mmfewshot you can also consider the following projects:

FedScale - FedScale is a scalable and extensible open-source federated learning (FL) platform.

mmrotate - OpenMMLab Rotated Object Detection Toolbox and Benchmark

synthetic-computer-vision - A list of synthetic dataset and tools for computer vision

mmpose - OpenMMLab Pose Estimation Toolbox and Benchmark.

Meta-SelfLearning - Meta Self-learning for Multi-Source Domain Adaptation: A Benchmark

test - Measuring Massive Multitask Language Understanding | ICLR 2021

pycococreator - Helper functions to create COCO datasets

mmflow - OpenMMLab optical flow toolbox and benchmark

mmdeploy - OpenMMLab Model Deployment Framework

transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

mmhuman3d - OpenMMLab 3D Human Parametric Model Toolbox and Benchmark

Real-Time-Voice-Cloning - Clone a voice in 5 seconds to generate arbitrary speech in real-time