Dataset Versions
Versions
sheer_augment_big
v11
· 3 years ago
noise_augment
v10
· 3 years ago
shear_augment
v9
· 3 years ago
crosswalks_augmentation
v8
· 3 years ago
crosswalks_morepics
v7
· 3 years ago
crosswalks_selftaken
v6
· 3 years ago
crosswalks_varied
v5
· 3 years ago
davidson_pccr
v4
· 3 years ago
davidson
v3
· 3 years ago
davidson_crosswalk_416
v2
· 3 years ago
davidson_crosswalk
v1
· 3 years ago
v11
sheer_augment_big
Generated on Nov 23, 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.
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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1332 Total Images
View All Images
Dataset Split
Train Set 88%
1170Images
Valid Set 8%
108Images
Test Set 4%
54Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Noise: Up to 5% of pixels
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical