Pedestrian and human attribute dataset.

 

For Pedestrian Detection:

1. CityPersons - High-quality pedestrian detection dataset with diverse urban scenes from multiple European cities
2. Caltech Pedestrian Dataset - Contains approximately 250,000 frames with 350,000 bounding boxes and 2,300 unique pedestrians
3. INRIA Person Dataset - Includes full-body pedestrians in various poses and backgrounds
4. MOT (Multiple Object Tracking) Dataset - Contains pedestrians in crowded scenes

For Human Attribute Analysis:

1. RAP (Richly Annotated Pedestrian) Dataset - Over 40 attributes including clothing types, colors, and accessories
2. PETA Dataset - Large-scale surveillance person attribute dataset with 19,000 images
3. Market-1501 Attribute Dataset - Contains 27 attributes for clothing and personal items
4. DeepFashion Dataset - Focuses on clothing items with detailed annotations

Some considerations when choosing a dataset:

• Make sure to check the license terms for each dataset
• Consider the image quality and diversity needed for your specific use case
• Check if the annotations match your requirements (bounding boxes, attributes, etc.)
• Verify that the dataset size is sufficient for your model training needs