Dataset Versions
Versions
Pedestrians_2023_v2
v10
· a year ago
Pedestrians_2023_v1
v9
· a year ago
pedestraians_2022_v3
v8
· 3 years ago
pedestraians_2022_v2
v7
· 3 years ago
pedestrians_2022_v1
v6
· 3 years ago
Pedestrian_9
v5
· 3 years ago
pedestrians_8
v4
· 3 years ago
pedestrians_big_FRN
v3
· 4 years ago
pedestrians_big_FR
v2
· 4 years ago
pedestrians_big_512
v1
· 4 years ago
v4
pedestrians_8
Generated on Aug 10, 2021
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YOLOv11
TXT annotations and YAML config used with YOLOv11.
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TXT annotations and YAML config used with YOLOv9.
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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.
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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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516 Total Images
View All Images
Dataset Split
Train Set 87%
450Images
Valid Set 8%
43Images
Test Set 4%
23Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 512x512
Augmentations
Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Brightness: Between -20% and +20%