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Models
297
Datasets
245
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128

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21 entries in Conservation

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AVES2-BEATsEarthSpeciesProjectSelf-supervised BEATs-based audio encoder trained on broad bioacoustic data for species detection, classification, and embedding across animal taxa.Bioacoustics ModelBrowse
BEANS-ZeroEarthSpeciesProjectZero-shot bioacoustics benchmark evaluating audio-language models on species detection, classification, and captioning across diverse animal taxa.Bioacoustics BenchmarkBrowse
NatureLM-audioEarthSpeciesProjectFirst audio-language foundation model for bioacoustics - species classification, detection, and captioning of animal vocalizations.Audio-Language ModelBrowse
OlmoEarth v1 BaseallenaiBase-size OlmoEarth checkpoint — Ai2 foundation model balancing capacity and inference cost for Earth-observation workloads.Earth-Observation Foundation ModelBrowse
OlmoEarth v1 FT — AWF (Base)allenaiOlmoEarth v1 Base fine-tuned for the African Wildlife Foundation (AWF) conservation use case — task-specific Earth-observation checkpoint released with the OlmoEarth v1 suite.Earth-Observation Fine-TuneBrowse
OlmoEarth v1 FT — Ecosystem Type Mapping (Base)allenaiOlmoEarth v1 Base fine-tuned for ecosystem-type classification — predicts ecosystem categories from satellite imagery for biodiversity and conservation workflows.Earth-Observation Fine-TuneBrowse
OlmoEarth v1 FT — Forest Loss Driver (Base)allenaiOlmoEarth v1 Base fine-tuned to attribute forest-loss events to underlying drivers (e.g. agriculture, logging, fire) from satellite imagery.Earth-Observation Fine-TuneBrowse
OlmoEarth v1 FT — LFMC (Base)allenaiOlmoEarth v1 Base fine-tuned for Live Fuel Moisture Content (LFMC) prediction — supports wildfire-risk monitoring from satellite imagery.Earth-Observation Fine-TuneBrowse
OlmoEarth v1 FT — Mangrove (Base)allenaiOlmoEarth v1 Base fine-tuned for mangrove ecosystem mapping — supports coastal conservation, blue-carbon accounting, and habitat monitoring.Earth-Observation Fine-TuneBrowse
OlmoEarth v1 LargeallenaiLargest OlmoEarth checkpoint — Ai2 foundation model for satellite imagery and Earth observation, supporting land cover, climate, and environmental monitoring tasks.Earth-Observation Foundation ModelBrowse
OlmoEarth v1 NanoallenaiSmallest OlmoEarth checkpoint — minimal-footprint variant for embedded and high-throughput Earth-observation inference pipelines.Earth-Observation Foundation ModelBrowse
OlmoEarth v1 TinyallenaiCompact OlmoEarth variant — light-weight Earth-observation foundation model suited to large-scale or on-device satellite-imagery inference.Earth-Observation Foundation ModelBrowse
OlmoEarth v1.1 BaseallenaiOlmoEarth v1.1 Base — updated base-size checkpoint of Ai2’s Earth-observation foundation model, with improved pretraining and downstream-task performance over v1.Earth-Observation Foundation ModelBrowse
OlmoEarth v1.1 NanoallenaiOlmoEarth v1.1 Nano — refreshed minimal-footprint OlmoEarth checkpoint for embedded and high-throughput Earth-observation pipelines.Earth-Observation Foundation ModelBrowse
OlmoEarth v1.1 TinyallenaiOlmoEarth v1.1 Tiny — refreshed compact OlmoEarth variant for large-scale or on-device satellite-imagery inference.Earth-Observation Foundation ModelBrowse
OlmoEarth v1.2 BaseallenaiOlmoEarth v1.2 Base — latest base-size checkpoint of Ai2’s Earth-observation foundation model line.Earth-Observation Foundation ModelBrowse
OlmoEarth v1.2 NanoallenaiOlmoEarth v1.2 Nano — latest minimal-footprint OlmoEarth checkpoint for embedded and high-throughput Earth-observation inference.Earth-Observation Foundation ModelBrowse
OlmoEarth v1.2 SmallallenaiOlmoEarth v1.2 Small — new intermediate-scale OlmoEarth checkpoint introduced in the v1.2 family for tasks needing more capacity than Tiny/Nano but less than Base.Earth-Observation Foundation ModelBrowse
OlmoEarth v1.2 TinyallenaiOlmoEarth v1.2 Tiny — latest compact OlmoEarth checkpoint for large-scale or on-device Earth-observation inference.Earth-Observation Foundation ModelBrowse
olmoearth-paper-embeddingsallenaiPrecomputed embeddings released alongside the OlmoEarth paper — drop-in feature set for evaluating Earth-observation foundation-model performance on downstream tasks without re-running the backbone.Earth-Observation EmbeddingsBrowse
TreeOfLife-200MimageomicsFoundational 200M-image dataset for organismal biology — multilingual species labels (en, la) at biodiversity scale, used to train BioCLIP-2 for zero-shot species classification.Biodiversity Image CorpusBrowse