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
v3
pedestrians_big_FRN
Generated on Mar 2, 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 YOLOv8.
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TXT annotations and YAML config used with YOLOv5.
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TXT annotations and YAML config used with YOLOv7.
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Darknet TXT annotations used with YOLO Darknet (both v3 and v4) and YOLOv3 PyTorch.
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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.
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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°
Noise: Up to 3% of pixels