Earth Observation with Temporal & General Understanding
Collection
A collection of datasets , evaluations , and models for the Nutonic Project • 23 items • Updated • 2
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Satellite imagery and aligned land-cover outputs packaged as image–text rows for fine-tuning in SFT format. JSONL user prompts name the modality (satellite imagery vs. overhead context) where it matters.
stochastic/random_streetview_images_pano_v0.0.2)mapbox_stills/.messages[] with image + text, aligned with conventions.images/*.png — RGB chips (downsampled, e.g. 224×224).overlays/*.png — optional bbox visualization per JSONL row (--write-bbox-overlays).mapbox_stills/*.png — overhead context still per POI (when API token set).data/train.jsonl, data/validation.jsonl, data/test.jsonl — splits hashed by poi_id.metadata/*.json — per-tile sidecars (coordinates, scene id, land_cover_label_meta counts/shapes only).Respect the STAC data provider terms, Earth Engine terms for label rasters, the MapBox ToS for optional stills, and the MIT HF pano dataset license for source coordinates.
images/, mapbox_stills/, overlays/, and metadata/ use at most 8000 files per leaf directory (Hub git limit: 10k files per directory). JSONL paths may include sNNNNN/ shard segments where needed.