Dataset Versions
Versions
Seat 100
v51
· a year ago
Seat 50
v50
· a year ago
Seat 20
v49
· a year ago
Luggage 200
v47
· a year ago
Luggage 100
v46
· a year ago
Luggage 50
v45
· a year ago
Luggage 20
v44
· a year ago
Stairs 200
v42
· a year ago
Stairs 100
v41
· a year ago
Stairs 50
v40
· a year ago
Stairs 20
v39
· a year ago
Platform Edge 100
v38
· a year ago
Platform Edge 50
v37
· a year ago
Platform Edge 20
v36
· a year ago
Ramp 100
v35
· a year ago
Ramp 50
v34
· a year ago
Ramp 20
v33
· a year ago
Windows 200
v32
· a year ago
Windows 100
v31
· a year ago
Windows 50
v30
· a year ago
Windows 20
v29
· a year ago
Turn Stiles 200
v28
· a year ago
Turn Stiles 100
v27
· a year ago
Turn Stiles 50
v26
· a year ago
Turn Stiles 20
v25
· a year ago
Train 1000
v18
· a year ago
Train 500
v17
· a year ago
Train 250
v16
· a year ago
Train 100
v15
· a year ago
Dog 1000
v13
· a year ago
Dog 500
v12
· a year ago
Dog 250
v11
· a year ago
Dog 100
v10
· a year ago
People 1000
v9
· a year ago
People 500
v8
· a year ago
People 250
v7
· a year ago
People 100_Rotation
v6
· a year ago
People 100
v5
· a year ago
2023-12-22 1:05am
v4
· a year ago
2023-12-10 9:42pm
v3
· a year ago
2023-12-10 10:45am
v2
· a year ago
2023-12-10 10:19am
v1
· a year ago
v51
Seat 100
Generated on Jan 8, 2024
Popular Download Formats
YOLOv11
TXT annotations and YAML config used with YOLOv11.
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.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
Other Formats
Choose another format.
5312 Total Images
View All Images
Dataset Split
Train Set 76%
4041Images
Valid Set 16%
844Images
Test Set 8%
427Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 480x480
Augmentations
No augmentations were applied.