Omkar2118/datasets huggingface dataset:
INI-30

A representative event-based eye-tracking dataset,  collected with two event cameras mounted on a glass frame. It features variable recording lengths and event counts from 30 volunteers, providing an ideal benchmark for modeling the heterogeneity of event-based eye tracking in real-world scenarios.

Introducing paper: Retina : Low-Power Eye Tracking with Event Camera and Spiking Hardware
Blood Metabolomic and Preeclampsia A Mendelian Randomization Study
Full name: Ling Keng

Supplemental Rcode with original results and images
StreetTryOn

StreetTryOn, the new in-the-wild Virtual Try-On dataset, consists of 12,364 and 2,089 street person images for training and validation, respectively. It is derived from the large fashion retrieval dataset DeepFashion2, from which we filter out over 90% of DeepFashion2 images that are infeasible for try-on tasks (e.g., non-frontal view, large occlusion, dark environment, etc.). Combining with the garment and person images in VITON-HD, we obtain a comprehensive suite of in-domain and cross-domain try-on tasks that have garment and person inputs from various sources, including Shop2Model, Model2Model, Shop2Street, and Street2Street.

- 12,364 training images and 2,089 test images
- Tests included:
    - Shop2Model
    - Model2Model
    - Shop2Street
    - Model2Street
    - Street2Street

Introducing paper: Street TryOn: Learning In-the-Wild Virtual Try-On from Unpaired Person Images