FishNet

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FishNet is an open-source research tool that provides an implementation of the FishNet architecture for image, region, and pixel-level prediction. It was a key component in winning the COCO Detection Challenge 2018.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Skill level

Technical

About

What is FishNet?

FishNet offers the implementation code for the FishNet architecture, a versatile backbone designed for image, region, and pixel-level prediction tasks. Based on a NeurIPS 2018 paper, this tool provides pre-trained models with varying parameters and FLOPs, including FishNet99, FishNet150, and FishNet201, with reported Top-1 and Top-5 accuracies. It supports training with PyTorch and includes configurations for data augmentation methods like random flip, random crop, and random PCA lighting. The project also details how to load and utilize these models, making it a valuable resource for researchers and developers working on computer vision challenges.

Best used for

Ideal for data scientists who need to implement advanced computer vision models, replicate research findings from the NeurIPS 2018 paper, and train models for image, region, and pixel-level prediction. Especially valuable for those participating in challenges like COCO Detection or developing custom computer vision applications.

Common actions

implement computer vision models

replicate research

train image prediction models

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Capabilities

Key features

FishNet architecture implementation
Pre-trained models
PyTorch integration
Data augmentation settings
Model loading utility

Target Audience

data scientist

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What is the primary purpose of the FishNet repository?

The FishNet repository provides the official implementation code for the FishNet architecture, which is a versatile backbone for image, region, and pixel-level prediction. It allows researchers and developers to utilize and build upon the methods described in the NeurIPS 2018 paper.

What are the prerequisites for running FishNet?

To run FishNet, you need Python 3.6.x and PyTorch 0.4.0+. The repository also outlines specific data augmentation methods used during training, which can be configured for your own experiments.

Can I download pre-trained models for FishNet?

Yes, the repository provides download links for several pre-trained FishNet models (FishNet99, FishNet150, FishNet201) via Baidu Yun and Google Cloud. Instructions are included on how to load these models into your PyTorch environment.

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AI Agents & Automation › AI Frameworks & Infra Data & Analytics › Predictive Analytics

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