datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
amazon-berkeley-objects
Amazon Berkeley Objects (ABO)
A Hugging Face packaging of the Amazon Berkeley Objects (ABO) dataset. The
data content is the official CC BY 4.0 release from
https://amazon-berkeley-objects.s3.amazonaws.com/index.html. This mirror
changes only the packaging: files are grouped into typed Parquet shards, and
every original media file is preserved byte-for-byte and never transcoded.
Images use the datasets Image() feature, 3D product models use the native
Mesh() feature (original… See the full description on the dataset page: https://huggingface.co/datasets/suvadityamuk/amazon-berkeley-objects.triples-objekts
tripleS Objekts Archive (HD Images, Motion MP4s & Full Metadata)
Complete digital collectible photocards (Objekts) dataset for the K-Pop girl group tripleS (Modhaus / COSMO app).
Dataset Summary
Total Objekts: 11,025 unique digital collectibles
Total Images: 21,340 high-resolution card scans (Front & Back)
Total Motion & Voice Videos: 125 animated card loops & voice message MP4 clips
Members: All 24 members (S1–S24) + Sub-units (AAA, KRE, Assemble24, etc.)… See the full description on the dataset page: https://huggingface.co/datasets/fadhilafif98/triples-objekts.objectnet
ObjectNet
A webp (lossless) encoded version of ObjectNet-1.0 at original resolution.
License / Usage Terms
ObjectNet is free to use for both research and commercial applications. The authors own the source images and allow their use under a license derived from Creative Commons Attribution 4.0 with only two additional clauses.
ObjectNet may never be used to tune the parameters of any model.
Any individual images from ObjectNet may only be posted to the web including… See the full description on the dataset page: https://huggingface.co/datasets/timm/objectnet.cars-object-tracking
Cars Object Tracking
Dataset comprises 10,000+ video frames featuring both light vehicles (cars) and heavy vehicles (minivans). This extensive collection is meticulously designed for research in multi-object tracking and object detection, providing a robust foundation for developing and evaluating various tracking algorithms for road safety system development.
By utilizing this dataset, researchers can significantly enhance their understanding of vehicle dynamics and improve… See the full description on the dataset page: https://huggingface.co/datasets/UniDataPro/cars-object-tracking.XMR_Demo_Industrial_Foreign_Object_Detection_Lentils
Demo for Hyperspectral Foreign-Object Detection in Lentils
Video spectroscopy beyond the visible spectrum, applied to foreign-object detection on a sliding lentil conveyor. Captured with a Cubert Ultris XMR camera — 61 bands per pixel, 430–910 nm, 1080 × 1000 pixels at 4 fps.
Foreign-object detection in food sorting is a general industrial-inspection problem — the rejected target could be a stone, a stem, a piece of packaging, a metal shard, or an insect. In this… See the full description on the dataset page: https://huggingface.co/datasets/cubert-gmbh/XMR_Demo_Industrial_Foreign_Object_Detection_Lentils.synthetic-object-relations
Synthetic Object Relations Dataset
A synthetic image dataset generated with Flux Schnell featuring clean object-relation prompts designed for training spatial reasoning in vision and diffusion models.
Dataset Description
This dataset contains images generated from structured prompts describing spatial relationships between objects. Unlike typical caption datasets that use free-form text, our prompts follow consistent patterns that explicitly encode:
Object identities… See the full description on the dataset page: https://huggingface.co/datasets/AbstractPhil/synthetic-object-relations.sd2-staged-foreign-objects
SD2 staged-laboratory foreign-object frames (heydonto)
97 frames · 163 frame-level annotation rows · 8 staged laboratory takes · CC BY 4.0
This dataset discloses and carries the SD2 own-footage portion of the training data of the ORena SAVE FOCUS challenge entry's FRAME-track component: 163 of that component's 58,086 pooled training rows. The other sources of that corpus are not part of this dataset.
What is in it
frames/ — 97 JPEG frames (filename = first 16 hex… See the full description on the dataset page: https://huggingface.co/datasets/HeyDonto/sd2-staged-foreign-objects.yolo-annotated-image-obj-detectioncars-video-object-trackingThe collection of overhead video frames, capturing various types of vehicles
traversing a roadway. The dataset inculdes light vehicles (cars) and
heavy vehicles (minivan).