ORBIT-Dataset VS Meta-SelfLearning

Compare ORBIT-Dataset vs Meta-SelfLearning 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)
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ORBIT-Dataset Meta-SelfLearning
2 1
86 197
- -
0.0 0.0
16 days ago almost 2 years ago
Python Python
MIT License -
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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.

Meta-SelfLearning

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

What are some alternatives?

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

mmfewshot - OpenMMLab FewShot Learning Toolbox and Benchmark

LFattNet - Attention-based View Selection Networks for Light-field Disparity Estimation

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

TextRecognitionDataGenerator - A synthetic data generator for text recognition

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

pykale - Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary research, part of the 🔥PyTorch ecosystem. ⭐ Star to support our work!

pycococreator - Helper functions to create COCO datasets

fashion-mnist - A MNIST-like fashion product database. Benchmark :point_down: