ProyectPerson Image Dataset
Versions
Modelo 2
v12
· 4 days ago
Modelo 1
v11
· 4 days ago
2024-06-24 4:09am
v10
· 7 days ago
2024-06-22 4:56am
v9
· 9 days ago
2024-06-15 9:08pm
v8
· 15 days ago
2024-06-14 7:48pm
v7
· 16 days ago
2024-06-14 6:48pm
v6
· 16 days ago
2024-06-14 6:46pm
v5
· 16 days ago
2024-06-14 6:44pm
v4
· 16 days ago
2024-06-14 6:43pm
v3
· 16 days ago
2024-06-14 6:36pm
v2
· 16 days ago
2024-06-14 12:38am
v1
· 17 days ago
v4
2024-06-14 6:44pm
Generated on Jun 14, 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.
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533 Total Images
View All Images
Dataset Split
Train Set 87%
465Images
Valid Set 6%
34Images
Test Set 6%
34Images
Preprocessing
Auto-Orient: Applied
Resize: Fill (with center crop) in 640x480
Grayscale: Applied
Modify Classes: 1 remapped, 0 dropped
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Shear: ±15° Horizontal, ±15° Vertical
Blur: Up to 1.1px
Noise: Up to 0.69% of pixels
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