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object-detection datasets
archive 2025-07-28
9 datasets carry the task tag "object-detection" (the task itself: object-detection), ordered by the archive's paper count. Page 1 of 1: 9 shown of 9. Facet routes are this site's own (the archive records the tag string, not a page).
The archive holds 12,214 dataset rows; 12,172 are listed. 6 are withheld from every listing and count here as vandalised before snapshot (6 with contact-centre spam in the title, 0 with a spam description on a row that has no homepage, no paper and no papers counted; none with more than 1 paper, 0 with a benchmark), listed in withheld.json; 1 listed row carries a vandalised description, withheld on its page. This gate never withholds a row with a homepage or a paper that resolves, and a clean description; the content rules below withhold a row whose name is spam whatever else it carries. The gate is a phrase list: these are the rows it caught, not a claim that the rest is clean. Before that gate, the site's content rules withhold 36 more rows (invite-code, gambling, travel-booking, contact-centre and similar spam in the name or on a row with nothing real behind it); they have no page and are listed in withheld.json.
Filter 51 task tags shown of 3,717, by dataset count; the full filter by modality, task and language is on /datasets
object-detection datasets 1–9 of 9
IP102 contains more than 75,000 images belonging to 102 categories, which exhibit a natural long-tailed distribution.
22 papers · 0 benchmarks
The evaluation of object detection models is usually performed by optimizing a single metric, e.g.
5 papers · 1 benchmark
DiaMOS Plant (A Dataset for Diagnosis and Monitoring Plant Disease)
Abstract The classification and recognition of foliar diseases is an increasingly developing field of research, where the concepts of machine and deep learning are used to support agricultural stakeholders.
4 papers · 0 benchmarks
✔️Abstract A Brain tumor is considered as one of the aggressive diseases, among children and adults.
3 papers · 0 benchmarks
AODRaw (Adverse condition Object Detection with RAW images)
We introduce the AODRaw dataset, which offers 7,785 high-resolution real RAW images with 135,601 annotated instances spanning 62 categories, capturing a broad range of indoor and outdoor scenes under 9 distinct light and weather conditions.
1 paper · 1 benchmark
- Images for Classification, Segmentation, Object Detection, Upsampling, and Edge LLM - Feature Noise-Augmented Dataset for Semantic Communication Kindly Check: https://huggingface.co/datasets/CQILAB/GenSC-6G
1 paper · 0 benchmarks
In this project, we tried to make malaria detection easily possible at a low cost.
1 paper · 1 benchmark
Please refer this paper @article{sarker2024tea, author = {Sarker, Swapnil Sharma and Islam, Ashiqul and Talukder Raktim, Raufun and Roshni, Sanjana and Joy, Sajib Kumar Saha and Shah, Faisal}, title = {Real-Time Tea Leaf Disease Detection…
1 paper · 0 benchmarks
Paper counts and descriptions are the archive's, frozen 2025-07-28; no citation counts, no stars, no trending. Sorting by "most cited" or "newest" was a live-site feature the archive does not carry.