Persons Image Dataset
Versions
2024-05-17 3:47pm
v9
May 17, 2024
2024-05-06 4:11pm
v8
May 6, 2024
2024-01-30 10:14am
v7
Jan 30, 2024
2024-01-24 11:57am
v6
Jan 24, 2024
2024-01-16 3:05pm
v5
Jan 16, 2024
2024-01-16 11:39am
v4
Jan 16, 2024
2024-01-10 2:16pm
v3
Jan 10, 2024
2024-01-10 12:18pm
v2
Jan 10, 2024
2024-01-09 3:16pm
v1
Jan 9, 2024
v8
2024-05-06 4:11pm
Generated on May 6, 2024
Popular Download Formats
YOLOv9
TXT annotations and YAML config used with YOLOv9.
YOLOv8
TXT annotations and YAML config used with YOLOv8.
YOLOv5
TXT annotations and YAML config used with YOLOv5.
YOLOv7
TXT annotations and YAML config used with YOLOv7.
COCO JSON
COCO JSON annotations are used with EfficientDet Pytorch and Detectron 2.
YOLO Darknet
Darknet TXT annotations used with YOLO Darknet (both v3 and v4) and YOLOv3 PyTorch.
Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
TFRecord
TFRecord binary format used for both Tensorflow 1.5 and Tensorflow 2.0 Object Detection models.
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
Other Formats
Choose another format.
2468 Total Images
View All ImagesDataset Split
Train Set 87%
2154Images
Valid Set 9%
210Images
Test Set 4%
104Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (black edges) in 640x640
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Brightness: Between -25% and +25%
Noise: Up to 1.99% of pixels
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