Multispecies Whale Detection

Multispecies Whale Sound Detection Tool

CommonProductOthersWhale Sound DetectionNeural Networks

Multispecies-whale-detection is an open-source project developed by Google, aimed at detecting and classifying whale sounds across different species and geographic regions through neural networks. This tool helps researchers and conservation organizations better understand and protect marine biodiversity.

Create training input: Generate training input from labeled audio file collections through the Beam pipeline.
Handle various audio formats: Support multiple audio file formats.
Audio file processing: Split multi-channel files and resample to a common sampling rate.
Audio clipping: Segment large files into shorter clips suitable for training.
Label and metadata merging: Merge labels and metadata with audio files
represented as TensorFlow Examples features in output.
Adjust label start times: Align label start times relative to the beginning of each audio clip.
Record serialization: Serialize merged records into tensorflow.Example format.

The target audience includes marine biologists
ecologists
and machine learning researchers. This tool aids them in more effectively identifying and studying whale vocalizations
enhancing the understanding of whale behaviors and ecological environments.

Marine biologists use this tool to study the vocal characteristics of specific whale populations.
Conservation organizations utilize this tool to monitor whale migration patterns and activity areas.
Educators use this tool to demonstrate the diversity and complexity of whale sounds to students.

1. Clone or download the multispecies-whale-detection project.
2. Install necessary dependencies
such as Apache Beam.
3. Prepare audio files and CSV label files.
4. Use the examplegen tool to generate training data.

Visit

Multispecies Whale Detection Visit Over Time

Monthly Visits

488643166

Bounce Rate

37.28%

Page per Visit

5.7

Visit Duration

00:06:37

Multispecies Whale Detection Visit Trend

Multispecies Whale Detection Visit Geography

Multispecies Whale Detection Traffic Sources

Multispecies Whale Detection Alternatives

ComfyUI-PyramidFlowWrapper — A ComfyUI wrapper node for Pyramid-Flow, designed for efficient visual generation.

Programming•Deep Learning•Visual Generation

AILIBRI — A comprehensive directory of AI neural network tools

Others•AI Tools•Neural Networks

252

QA-MDT — Open-source music generation model

Music•Music Generation•Deep Learning

156

World Labs — Build large world models, perceive, generate, and interact with the 3D world.

InternationalSelection•3D Modeling•Virtual Reality

102

assistant-ui-stockbroker — An AI-powered stockbroker assistant that provides professional investment advice.

Business•Artificial Intelligence•Financial Analysis

144

SuperPrompt — Aimed at helping us understand the engineering of AI agents through prompt design.

Programming•Artificial Intelligence•Machine Learning

How Much VRAM — An open-source project designed to estimate the VRAM needed for model training or inference.

Programming•VRAM Estimation•Deep Learning

108

zero_to_gpt — Learn deep learning from scratch and implement a GPT model

Productivity•Deep Learning•Neural Networks

ALIEN — A simulation program for artificial life and evolution of digital organisms.

Programming•Artificial Life•Simulation

AITimeline — An open-source project documenting milestones in AI development.

Others•Artificial Intelligence•Timeline

avp_teleoperate — Remote control of the humanoid robot Unitree H1_2 using Apple Vision Pro.

Programming•Robot Remote Control•Virtual Reality

MIT MAIA — Automated interpretability agent enhancing AI model transparency

Productivity•AI Interpretability•Automation

LLaVA++ — LLaVA++ extends the LLaVA model by integrating Phi-3 and LLaMA-3, enhancing the interaction capability between visual and language models.

Programming•Artificial Intelligence•Natural Language Processing

468

CoreNet — CoreNet is a library designed for training deep neural networks.

Programming•Deep Learning•Neural Networks

Transformer Debugger (TDB) — Transformer Debugger is a tool developed by OpenAI's Superalignment team for investigating the specific behaviors of small language models.

Programming•Development Programming•Model Debugging

690

FakeSoraAPI — An open-source project that mimics the as-yet unreleased OpenAI Sora API

Programming•API Simulation•AI Video Generation

1044

InstructIR — High-quality image restoration, optimized based on human instructions

Image•Image Restoration•Neural Networks

1560

Learning Universal Predictors — Powerful universal predictive learning

Programming•Meta-learning•Neural networks

Neuralhub — An AI deep learning platform that offers a wide range of models and tools to foster an AI innovation community