pedestrian behaviour analysis Dataset
v3
2024-06-11 7:42pm
Generated on Jun 11, 2024
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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.
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5346 Total Images
View All Images
Dataset Split
Train Set 93%
4964Images
Valid Set %
0Images
Test Set 7%
382Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (black edges) in 1600x1200
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Grayscale: Apply to 12% of images
Bounding Box: Exposure: Between -35% and +35%