datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
ZOD-Mini-2D-Road-Scenes
ZOD-Mini-2D-Road-Scenes
The ZOD-Mini-2D-Road-Scenes dataset is derived from the Zenseact Open Dataset (ZOD), property of Zenseact AB (© 2022 Zenseact AB), and is licensed under the permissive CC BY-SA 4.0. Any public use, distribution, or display of this dataset must contain this entire notice:
For this dataset, Zenseact AB has taken all reasonable measures to remove all personally identifiable information, including faces and license plates. To the extent that you like to request… See the full description on the dataset page: https://huggingface.co/datasets/8bits-ai/ZOD-Mini-2D-Road-Scenes.ring-drop-mini
Ring Drop Mini
A small binary image set for classifying blue ring drop vs green ring drop frames. Images live in media_blob; class ids live in bucket.
omni_med_vqa_miniDataset derived from simwit/omni-med-vqa-mini
This dataset was created using:
from datasets import load_dataset
raw_ds = load_dataset("simwit/omni-med-vqa-mini")
system_message = (
"You are a medical Vision Language Model specialized in analyzing medical images and providing clinical insights. "
"Provide concise, clinically relevant answers based on the image and question."
)
def format_medical_sample(sample):
return {
"messages": [
{"role": "system", "content":… See the full description on the dataset page: https://huggingface.co/datasets/axolotl-ai-co/omni_med_vqa_mini.USAI-Bench-Mini-SampleDataset contains training images under train/images and testing images under test/images.
Each entry in metadata.jsonl has file_name, question, and answer.