Pedestrian detection Image Dataset
v8
2023-05-26 4:39pm
Generated on May 26, 2023
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YOLOv9
TXT annotations and YAML config used with YOLOv9.
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TXT annotations and YAML config used with YOLOv8.
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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.
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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.
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180 Total Images
View All Images
Dataset Split
Train Set 83%
150Images
Valid Set 11%
20Images
Test Set 6%
10Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 1 remapped, 1 dropped
Augmentations
Outputs per training example: 3
Grayscale: Apply to 62% of images
Hue: Between -25° and +25°
Brightness: Between -65% and +0%
Blur: Up to 1px
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