datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
iNat-2021-traininatspectro-bioacoustics
iNatSpectro Bioacoustics
A community-contributed dataset of bioacoustic call annotations pointing at iNaturalist audio observations. Contributions are made via the iNatSpectro browser extension: a user listens to and views the spectrogram of an iNaturalist recording, marks a call, and submits a pointer to the source recording plus the marked time/frequency bounding box. Each record carries the observation's quality_grade, so consumers can scope training to research-grade data… See the full description on the dataset page: https://huggingface.co/datasets/japht/inatspectro-bioacoustics.inat-species-explorer-dataiNat21_filtered
iNat21 manually filtered masks
This repository contains the original iNat21 mask proposals, the manual review decisions, and the filtered mask parquet produced from those decisions.
The masks were reviewed with the ConCor Wildlife Verification Interface, a CPU-only browser interface for stepping through images and mask proposals, accepting or deleting each mask, saving review progress to JSON, and exporting a filtered parquet.
Files
File
Description
Rows /… See the full description on the dataset page: https://huggingface.co/datasets/suryadv/iNat21_filtered.inaturalist
Dataset Card for inaturalist
This dataset is comprised of 9549 observations that were posted on the iNaturalist app. iNaturalist is a website and app that 'aims to provide a crowd sourced identification system' for plants, insects, and animals.
Dataset Details
For each of the 9549 observations included in this dataset, there is information about the quality ('quality_grade') of the observation and associated photo(s),
a species name ('species_guess') along with a… See the full description on the dataset page: https://huggingface.co/datasets/ba188/inaturalist.iNatIGCD
Dataset Card for Dataset Name
Dataset Summary
This dataset is built on the iNaturalist 2021 dataset and is used for the Incremental Generalized Category Discovery task.
For more information about the task, please checkout this paper.
Supported Tasks and Leaderboards
[More Information Needed]
Dataset Structure
Data Instances
[More Information Needed]
Data Fields
[More Information Needed]
Data Splits
[More Information… See the full description on the dataset page: https://huggingface.co/datasets/tennant/iNatIGCD.inaturalistiNaturalist_mortality_records_12Apr2025record-testThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "so_follower",
"total_episodes": 3,
"total_frames": 2206,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 30,
"splits": {
"train": "0:3"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/inatake4/record-test.iNat21_masked
iNat21 Masked
Segmentation masks for the iNaturalist 2021 training set, stored as RLE-encoded masks in a single Parquet file.
File
File
Description
masks.parquet
173,548 rows — one per image — with RLE mask, score, species label, and file_id
Schema
Column
Type
Description
file_id
str
UUID stem of the original iNat21 image filename
dataset
str
Always iNat21
text_prompt
str
Text prompt used to generate the mask
mask_rle_counts
str… See the full description on the dataset page: https://huggingface.co/datasets/kaityc06/iNat21_masked.inat_observations-2026-04-21.parquet