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AI Training Datasets

Content curation and creation
for AI models of all kinds

Text, audio, image and video,
from all genres, cultures and technical specs.

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A Glimpse into Our Growth

500K+ hours

FILM AND VIDEO

100k+ hours

SPEECH AUDIO

20k+ tracks

MUSIC

1M still images

PHOTOGRAPHY

A Full Line Of Related Services

FEATURE 1

COLLECTION

FEATURE 2

ANNOTATION

FEATURE 3

TRANSCRIPTION

FEATURE 4

VALIDATION

FEATURE 5

VALUE

FEATURE 6

CLEARANCE

Sound And Image Datasets
For All Kinds Of Models

Audio

50K+ hours - English + 20 

Nitro Digitals audio datasets typically consist of recorded sounds or speech that can be processed by AI models to learn patterns, identify sounds, or make predictions based on audio input to train machine learning models, particularly those that focus on speech recognition, sound classification, or other audio-related tasks, including some of the following:
 

  1. Speech Data: Conversations, interviews, or scripted speech in various languages or accents for speech recognition, speaker identification, or language modeling.
     

  2. Environmental Sounds: Traffic, animal, or environmental sounds  for sound classification or anomaly detection.
     

  3. Sound Effects: Which are used for tasks such as sound effects  classification or recognition.

In summary, audio datasets for developing AI models that can process, interpret, and generate insights from sound. Whether for speech recognition, music analysis, or environmental sound detection, our datasets provide foundation for training models that can understand and interact with the audio world.

Music

200k+ tracks

Nitro Digitals music datasets typically contain a variety of musical elements such as melody, harmony, rhythm, and genre, and are employed for tasks like music classification, generation, recommendation, and analysis, for cases as follows:

  1. Music Classification to assign  new music into categories.

  2. Audio Feature Extraction of features such as tempo, key, pitch, or beat, to be used for analysis or recommendation.

  3. Chord Recognition used for chord progression prediction.

  4. Cover Song Detection to identify when a cover version of a song is being played.

  5. Music Transcription to convert audio into sheet music.

  6. Music Recommendation for music users based on their preferences and history.

  7. Emotion and Mood to assign based on emotional tone or mood.

Photo

500k+ still images

Nitro Digitals still images datasets typically consist of labeled or unlabeled photos, pictures, draws, screenshots or others that the model uses to learn to identify patterns, classify objects, detect features, or even generate new images, with details as follows:

  1. Object Detection like cars, people, or animals. 

  2. Image Classification to train on predefined categories.

  3. Semantic Segmentation to segment and classify parts.

  4. Instance Segmentation to detect object instances

  5. Facial Recognition for use in related recognition systems.

  6. Product Recognition: to find  and classify business products.

  7. Medical Imaging for medical images such as X-rays, MRIs, or histopathological slides.


The quality, diversity, and size of our dataset are focused in helping AI models generalize to real-world scenarios and tasks.

Video

500K + hours  - English + 20

Nitro Digitals datasets typically consist of video files from sources alike movies, drama series, documentaries, 

TV entertainment, animation, sports and news, that are annotated with metadata or labels to help the model learn to recognize patterns, actions, or events from the visual and audio content in the images, all of use to train machine learning models, particularly those focused on tasks like video classification, object detection, action recognition, video summarization, emotions identification, in cases as follows:
 

1.Action Recognition: Walking, running, fighting, cooking or others, to recognize such specific activities.
 

2.Object Detection: For training models to detect and track objects in video frames, like cars, furniture, weapons, etc.


3.Event Detection: To learn accidents, sports events, or social interactions to detect and classify these events.


4.Video Summarization: With labels for key segments, to learn to summarize videos by extracting moments or scenes.


5.Facial Recognition: Focused on recognizing faces across multiple frames or analyzing facial expressions.

Nitro Digitals video dataset are useful for training AI models with careful consideration of the quality, size, and diversity of the content, with evolving solutions for Data Annotation that is time-consuming and expensive;  learning of Spatial and Temporal relation between frames; and Data Privacy and Ethics related to personal or sensitive information as well as artistic copyrights.​

Text

1M pages -  English + 10

Nitro Digitals text datasets typically consist of books, articles, and technical papers, to more specific sources like customer reviews or professional transcripts of different length and complexity.
 

Most of them are good for natural language processing (NLP) projects, sentiment analysis, language translation, text summarization, and chatbot training cases as well. 

The quality, diversity, and size of the dataset are of a wide variety and ready to be customize to each client needs, including some of the following:

  1. Wide range of topics, writing styles, and genres,
    languages and dialects.
     

  2. Labeled vs. Unlabeled depending on client’s own solution team.
     

  3. Preprocess options, from raw text data to cleaned and standardized for training.
     

  4. Sized flexibly, carrying for the models to understand patterns more effectively.
     

  5. Diverse from different sources to avoid biases or narrow language patterns.

     

Our datasets are essential in building AI models that can understand and interact with text in a way that's meaningful to humans.
 

Built by Professionals, for Professionals

Fueling the Future of AI with Premium Training Data
At Nitro Digitals, part of Nitro Group Inc, (www.nitrogroup.net) we specialize in delivering high-quality, ethically sourced AI training datasets across text, audio, video, and image, formats since early 2021.
Our mission is to accelerate innovation by providing machine learning teams, enterprises, and research institutions with the foundational data they need to build smarter, faster, and more responsible AI systems.
With deep expertise in both data science and content licensing, Nitro Digitals bridges the gap between cutting-edge technology and real-world data. We combine scalable data curation pipelines with rigorous legal governance to ensure every dataset meets industry standards for quality, relevance, and compliance.
From powering computer vision breakthroughs to enabling next-gen natural language models, Nitro Digitals is your trusted partner for AI-ready datasets designed to scale.

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