Dataset Versions
Versions
2022-07-19 9:32pm
v30
· 2 years ago
2022-07-17 4:27pm
v29
· 2 years ago
2022-07-05 8:52pm
v28
· 2 years ago
2022-07-05 5:09pm
v27
· 2 years ago
2022-07-05 5:04pm
v26
· 2 years ago
2022-07-05 10:24am
v25
· 2 years ago
2022-05-16 12:40pm
v24
· 3 years ago
2022-05-15 5:47pm
v23
· 3 years ago
2022-05-12 8:34pm
v22
· 3 years ago
2022-05-09 2:53pm
v21
· 3 years ago
2022-05-09 8:11am
v20
· 3 years ago
2022-05-08 1:50pm
v19
· 3 years ago
2022-05-08 1:33pm
v18
· 3 years ago
2022-05-05 9:12pm
v17
· 3 years ago
2022-05-04 7:02am
v16
· 3 years ago
2022-05-03 7:07am
v15
· 3 years ago
2022-05-02 5:36pm
v14
· 3 years ago
2022-05-02 7:11am
v13
· 3 years ago
2022-05-02 7:05am
v12
· 3 years ago
2022-05-01 3:58pm
v11
· 3 years ago
2022-05-01 1:39pm
v10
· 3 years ago
2022-05-01 1:27pm
v9
· 3 years ago
2022-05-01 7:54am
v8
· 3 years ago
2022-04-30 5:56pm
v7
· 3 years ago
2022-04-30 4:56pm
v6
· 3 years ago
2022-04-29 9:35pm
v5
· 3 years ago
2022-04-28 10:17pm
v4
· 3 years ago
2022-04-28 12:33pm
v3
· 3 years ago
2022-04-28 12:30pm
v2
· 3 years ago
2022-04-28 7:14am
v1
· 3 years ago
v18
2022-05-08 1:33pm
Generated on May 8, 2022
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.
1756 Total Images
View All Images
Dataset Split
Train Set 97%
1695Images
Valid Set %
0Images
Test Set 3%
61Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 416x416
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -30% and +30%
Blur: Up to 1px
Noise: Up to 1% of pixels