The dataset viewer is not available because its heuristics could not detect any supported data files. You can try uploading some data files, or configuring the data files location manually.
YAML Metadata Warning:The task_ids "land-cover-classification" is not in the official list: acceptability-classification, entity-linking-classification, fact-checking, intent-classification, language-identification, multi-class-classification, multi-label-classification, multi-input-text-classification, natural-language-inference, semantic-similarity-classification, sentiment-classification, topic-classification, semantic-similarity-scoring, sentiment-scoring, sentiment-analysis, hate-speech-detection, text-scoring, named-entity-recognition, part-of-speech, parsing, lemmatization, word-sense-disambiguation, coreference-resolution, extractive-qa, open-domain-qa, closed-domain-qa, news-articles-summarization, news-articles-headline-generation, dialogue-modeling, dialogue-generation, conversational, language-modeling, text-simplification, explanation-generation, abstractive-qa, open-domain-abstractive-qa, closed-domain-qa, open-book-qa, closed-book-qa, text2text-generation, slot-filling, masked-language-modeling, keyword-spotting, speaker-identification, audio-intent-classification, audio-emotion-recognition, audio-language-identification, multi-label-image-classification, multi-class-image-classification, face-detection, vehicle-detection, instance-segmentation, semantic-segmentation, panoptic-segmentation, image-captioning, image-inpainting, image-colorization, super-resolution, grasping, task-planning, tabular-multi-class-classification, tabular-multi-label-classification, tabular-single-column-regression, rdf-to-text, multiple-choice-qa, multiple-choice-coreference-resolution, document-retrieval, utterance-retrieval, entity-linking-retrieval, fact-checking-retrieval, univariate-time-series-forecasting, multivariate-time-series-forecasting, visual-question-answering, document-question-answering, pose-estimation
65-Band DIAS (Digital Airborne Imaging Spectrometer) Dataset
Dataset Description
The DIAS (Digital Airborne Imaging Spectrometer) dataset is a high-resolution airborne hyperspectral imaging benchmark comprising 65 contiguous spectral bands covering the reflective optical spectrum.
Spectral Characteristics
- Bands: 65 continuous spectral channels
- Spatial Grid: Calibrated airborne radiance matrix
- Format: MATLAB
.matcontainers (DIAS.matand ground-truthDIAS_ref.mat) - Classes: Urban and agricultural land-cover classes
Citation & Attribution
- Dataset Curator: Danesh Selwal (
selwaldanesh@gmail.com) - Co-authored by: Claude (
claude@anthropic.com)
- Downloads last month
- 50