datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
spark-plug-anomaly-detection
Spark Plug Anomaly Detection
Images of spark plugs for use in visual anomaly detection with Edge Impulse’s FOMO-AD learning block. The model is trained only on normal samples and flags any deviation as an anomaly.
Input: Images (96x96)
Classes: normal (train/test), anomaly (test only)
Use case: Embedded anomaly detection in predictive maintenance
Model trained and demonstrated on Edge Impulse.
Looking for multi-class condition labels?See the companion dataset: Spark Plug… See the full description on the dataset page: https://huggingface.co/datasets/eoinedge/spark-plug-anomaly-detection.SPARK-2022
SPARK 2022 — Stream 1 (Spacecraft Detection)
Stream 1 of the SPARK 2022 dataset (SPAcecraft Recognition leveraging Knowledge
of the space environment): space-borne imagery of 10 spacecraft plus a debris
class, for object detection and classification. Each image contains exactly one
target annotated with a single bounding box and class label.
Dataset summary
Images
110,000 JPEG, 1024 × 1024, RGB
Annotations
1 bounding box + class per image
Classes… See the full description on the dataset page: https://huggingface.co/datasets/CVI2-UniLU/SPARK-2022.spark-plug-classification
Spark Plug Condition Classification
Labeled images of spark plugs for training a multi-class visual classifier. Includes four categories:
normal
carbon_fouled
oil_fouled
mechanical_damage
Optimized for use in Edge Impulse with the Transfer Learning (MobileNetV2) block.
Input: Images (96x96)
Task: Multi-class classification
Use case: Visual diagnostics and condition monitoring
Model trained and demonstrated on Edge Impulse.
Looking for anomaly detection?See the… See the full description on the dataset page: https://huggingface.co/datasets/eoinedge/spark-plug-classification.SPARK-2026
Dataset Card for SPARK 2026/2024
Although SPARK 2024 Stream-1 and SPARK 2026 Stream-1 utilize the exact same dataset, the underlying tasks differ. While SPARK 2024 focused exclusively on spacecraft component semantic segmentation, SPARK 2026 expands the objective to multi-task learning paired with efficient model architecture design.
SPARK 2026 is a dataset of spacecraft imagery with bounding box labels and segmentation masks, released as part of the SPARK 2026 Challenge for… See the full description on the dataset page: https://huggingface.co/datasets/CVI2-UniLU/SPARK-2026.SPARK-2024
SPARK 2024 — Stream 2: Spacecraft Trajectory Estimation
This dataset comes from Stream 2 of the SPARK 2024 challenge (SPAcecraft Recognition leveraging Knowledge of space environment). The task is 6-DoF pose / trajectory estimation of a target spacecraft from monocular camera images: given a sequence of images, estimate the relative position (translation) and orientation (quaternion) of the spacecraft with respect to the camera at every frame.
Dataset Summary… See the full description on the dataset page: https://huggingface.co/datasets/CVI2-UniLU/SPARK-2024.SPARK-2022
SPARK 2022 — Stream 1 (Spacecraft Detection)
Stream 1 of the SPARK 2022 dataset (SPAcecraft Recognition leveraging Knowledge
of the space environment): space-borne imagery of 10 spacecraft plus a debris
class, for object detection and classification. Each image contains exactly one
target annotated with a single bounding box and class label.
Dataset summary
Images
110,000 JPEG, 1024 × 1024, RGB
Annotations
1 bounding box + class per image
Classes… See the full description on the dataset page: https://huggingface.co/datasets/pengchengs/SPARK-2022.