Dataset Versions
Versions
gray
v36
· 4 months ago
hue
v35
· 4 months ago
exposure
v34
· 4 months ago
blur
v33
· 4 months ago
shear
v32
· 4 months ago
crop
v31
· 4 months ago
90rotation
v30
· 4 months ago
Flip
v29
· 4 months ago
2024-07-03 11:26pm
v27
· 4 months ago
only_brightness
v26
· 5 months ago
brightness_noise
v25
· 5 months ago
rotation_brightness
v24
· 5 months ago
Co nhieu
v23
· 5 months ago
2024-06-30 2:51pm
v22
· 5 months ago
2024-06-25 10:53am
v20
· 5 months ago
19
v19
· 7 months ago
2024-04-14 12:20pm
v18
· 7 months ago
2024-04-14 12:12pm
v17
· 7 months ago
2024-02-13 11:06pm
v16
· 9 months ago
2024-02-13 11:04pm
v15
· 9 months ago
2024-02-13 11:04pm
v14
· 9 months ago
2024-02-13 11:04pm
v13
· 9 months ago
2024-02-13 11:04pm
v12
· 9 months ago
2024-02-13 11:04pm
v11
· 9 months ago
2024-02-13 11:04pm
v10
· 9 months ago
2024-02-13 11:04pm
v9
· 9 months ago
2024-02-13 11:04pm
v8
· 9 months ago
2024-02-13 11:04pm
v7
· 9 months ago
2024-02-13 11:04pm
v6
· 9 months ago
2024-02-13 11:04pm
v5
· 9 months ago
2024-02-12 10:06pm
v4
· 9 months ago
2024-02-12 10:05pm
v3
· 9 months ago
2024-02-12 10:05pm
v2
· 9 months ago
2024-02-12 9:52pm
v1
· 9 months ago
v32
shear
Generated on Jul 4, 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.
1201 Total Images
View All Images
Dataset Split
Train Set 87%
1050Images
Valid Set 8%
101Images
Test Set 4%
50Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 2
Shear: ±10° Horizontal, ±10° Vertical