datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
ridgelora-cross-sensor-sd302d-f-to-m-20260825
RidgeLoRA-FP: SD302A-F to SD302D-M cross-sensor experiment
This public archive contains the leakage-controlled direct cross-sensor
experiment used to evaluate whether Stage-2 synthetic target-sensor images
help recognition on a physically different real sensor.
Locked protocol
Source/condition sensor: NIST SD302A device F.
Target sensor: NIST SD302D device M.
Identity: subject:finger-position; the same fingers exist across both
collections.
Subject split: 160… See the full description on the dataset page: https://huggingface.co/datasets/LamTNguyen/ridgelora-cross-sensor-sd302d-f-to-m-20260825.test_sensorsThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "aloha_franka",
"total_episodes": 0,
"total_frames": 0,
"total_tasks": 0,
"total_videos": 0,
"total_chunks": 0,
"chunks_size": 1000,
"fps": 30,
"splits": {},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path": null,
"features": {
"observation.images.primary": {… See the full description on the dataset page: https://huggingface.co/datasets/danielsanjosepro/test_sensors.sensor-ocr-benchmark
My Custom Dataset
Description
The original dataset was modified to inserto fake sensor information in bottom of image.
Usage
from datasets import load_dataset
dataset = load_dataset("famousdetectiveadrianmonk/sensor-ocr-benchmark")
example = dataset['train'][0]
img = example['pixel_values']
sensor_zoomin = img.crop((600, 850, 1250, 1050))
Attribution
This dataset is based on the original dataset provided by Segments.ai. The original dataset can… See the full description on the dataset page: https://huggingface.co/datasets/famousdetectiveadrianmonk/sensor-ocr-benchmark.sensor_translate_s1s2ITU_SENSOR_DATASETsensorssensor_translation_los_angelescarla_sensor_data_automatic