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Datasets:
ArkAiLab-Adl
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Nexora-vision-dataset-v2-medium

Tasks:
Text-to-Image
Image Classification
Modalities:
Image
Formats:
imagefolder
Languages:
English
Size:
1K - 10K
Tags:
nexora
arkailabs
computer-vision
image-dataset
diffusion
stable-diffusion
Libraries:
Datasets
License:
Dataset card Data Studio Files
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Nexora Vision Dataset v2 Medium

The Nexora Vision Dataset v2 Medium is a scalable, mixed-resolution image dataset designed for generative AI experimentation, diffusion model workflows, and computer vision research.

Developed and curated by ArkDevLabs / ArkAiLab (ADL).

Official Website: https://arkdevlabs.com

Dataset Summary

Nexora Vision Dataset v2 Medium contains 9,236 curated images packaged in both:

  • Raw image format
  • Optimized Parquet format

This release prioritizes:

  • Broader visual diversity
  • Lightweight distribution (~1.21GB)
  • Mixed-resolution flexibility
  • Efficient ML pipeline compatibility

Unlike the V1 Large release (focused heavily on high-resolution 2K/4K imagery), V2 Medium is designed for scalable experimentation and faster iteration cycles.

Key Highlights

  • 9,236 curated images
  • Mixed resolution (HD + lower resolution)
  • Lightweight and fast to download
  • Available in raw image + Parquet formats
  • Optimized for diffusion workflows
  • Clean and structured repository layout

Use Cases

This dataset is suitable for:

  • Training diffusion models (SDXL, LoRA, DreamBooth)
  • Lightweight generative AI experimentation
  • Computer vision prototyping
  • Multimodal model development
  • Dataset benchmarking and evaluation
  • Pipeline and infrastructure stress-testing

Supported Tasks

Task Description
Text-to-Image Generative model training
Diffusion Models SDXL and LoRA workflows
Image Classification Feature learning experiments
Multimodal Learning Vision-language research
Benchmarking Dataset and pipeline evaluation

Dataset Structure 

Nexora-vision-dataset-v2-medium/
├─ images/            # Raw image files
│   ├─ image_0.jpg
│   ├─ image_1.jpg
│   └─ ...
├─ parquet/
|   ├─ 0000.parquet
|   ├─ 0001.parquet     
│   └─ 0002.parquet
├─ LICENSE
└─ README.md

Dataset Specifications

  • Total images: 9,236
  • Resolution: Mixed (HD + lower resolution)
  • Formats: JPG
  • Parquet shards: 3 (
  • Modality: Image-only

The Parquet version enables faster loading, streaming, and structured ML workflows using Hugging Face Datasets or PyArrow.

How to Load (Hugging Face) 

from datasets import load_dataset

dataset = load_dataset("ArkAiLab-Adl/Nexora-vision-dataset-v2-medium")
print(dataset)

License

Repository structure, documentation, and tooling are licensed under the MIT License.

Attribution

If you use this dataset in research, training, or publications, attribution is appreciated:

JackMa — ArkDevLabs / ArkAiLab (ADL) https://arkdevlabs.com

Download Links

Hugging Face https://huggingface.co/datasets/ArkAiLab-Adl/Nexora-vision-dataset-v2-medium

GitHub https://github.com/ArkDevelopmentLabs/Nexora-vision-dataset-v2-medium

Credits

Developed by ArkDevLabs (ADL) Dataset Creator: JackMa (ArkDevLabs / ArkAiLab)

If you build or fine-tune a model using this dataset, citing Nexora Vision Dataset v2 Medium is appreciated.

Downloads last month
46
Size of downloaded dataset files:
1.21 GB
Size of the auto-converted Parquet files:
1.21 GB
Number of rows:
9,236