The Market-1501 dataset is collected in front of a supermarket in Tsinghua University. A total of six cameras are used, including 5 high-resolution cameras, and one low-resolution camera. Overlap exists among different cameras. Overall, this dataset contains 32,668 annotated bounding boxes of 1,501 identities. In this open system, images of each identity are captured by at most six cameras. We make sure that each annotated identity is present in at least two cameras, so that cross-camera search can be performed. The Market-1501 dataset has three featured properties: First, our dataset employes Deformable Part Model (DPM) as pedestrian detector. Second, in addition to the true positive bounding boxes, we also provde false alarm detection results. Third, each identify may have multiple images under each camera. During cross-camera search, there are multiple queries and multiple ground truths for each identity. The Market-1501 dataset is annotated using the following rules. For each detec

Dataset

This dataset was created by 27Wilson

Contents

The Market-1501 dataset is a large benchmark for person re-identification. It contains 12,000 images with 1,500 images per person, annotated with bounding boxes and masks for objects.

Dataset Card for "Market1501-Background-Modified"

  Dataset Summary

The Market1501-Background-Modified dataset is a variation of the original Market1501 dataset. It focuses on reducing the influence of background information by replacing the backgrounds in the images with solid colors, noise patterns, or other simplified alternatives. This dataset is designed for person re-identification (ReID) tasks, ensuring models learn person-specific features while ignoring background… See the full description on the dataset page: https://huggingface.co/datasets/ideepankarsharma2003/Market1501-Background-Modified.

Dataset

This dataset was created by Ali Akay

Contents

Performance comparison of our method with baselines on the Market1501, DukeMTMC-reID and MSMT17 dataset.

Dataset

This dataset was created by Achraf Abid

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Dataset

This dataset was created by foryolotrain1

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Dataset

This dataset was created by Igor Krashenyi

Released under CC0: Public Domain

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Dataset

This dataset was created by Leonardo Naldi

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Dataset

This dataset was created by Sachin Sarkar

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Detailed statistics of Market-1501 and DukeMTMC-reID.

The global data center services market size was worth over USD 83.1 billion in 2025 and is poised to grow at a CAGR of around 13.5%, reaching USD 294.82 billion revenue by 2035, impelled by demand for data-intensive applications.

MARS (Motion Analysis and Re-identification Set) is a large scale video based person reidentification dataset, an extension of the Market-1501 dataset. It has been collected from six near-synchronized cameras. It consists of 1,261 different pedestrians, who are captured by at least 2 cameras. The variations in poses, colors and illuminations of pedestrians, as well as the poor image quality, make it very difficult to yield high matching accuracy. Moreover, the dataset contains 3,248 distractors in order to make it more realistic. Deformable Part Model and GMMCP tracker were used to automatically generate the tracklets (mostly 25-50 frames long).

[202] PoC Platform & Technology Market to reach US$ 57,000 Mn by 2028. Market Analysis By Technology, Application, and End User.

By 2035, the Smart Grid Market is estimated to expand to USD 338.4 Billion, showcasing a robust CAGR of 17.3% between 2025 and 2035, starting from a valuation of USD 58.5 Billion in 2024.

Ablation experiments of our method on the Market1501, DukeMTMC-reID and MSMT17 datasets.

El tamaño del mercado global de servicios de centros de datos valía más de USD 83,1 mil millones en 2025 y se prevé que crezca a una CAGR de alrededor del 13,5%, alcanzando ingresos de USD 294,82 mil millones para 2035, impulsado por la demanda de aplicaciones intensivas en datos.

Source

This dataset is collected and annotated in Tsinghua. It has 6 cameras, 1,501 IDs and a distractor set of 500k images. Only one train/test split is used. We also annotate the ID-level attributes for Market-1501

Content

I'm not 100% sure how to interpret filenames in this dataset. If you know it, you can write to me, so I can update the description.

Acknowledgements

Liang Zheng www.liangzheng.org/Project/project_reid

India Flooring Adhesive Market has reached USD649.43 million by 2023 & expected to project growth in the forecast period with a CAGR of 3.77% through 2029.