Dataset Versions
Versions
2023-12-19 12:24pm
v35
· a year ago
2023-12-19 11:27am
v34
· a year ago
2023-12-19 11:20am
v33
· a year ago
2023-12-13 2:56pm
v32
· a year ago
2023-12-13 2:37pm
v31
· a year ago
2023-12-13 2:25pm
v30
· a year ago
2023-12-12 11:54am
v29
· a year ago
2023-12-09 4:33pm
v28
· a year ago
2023-11-23 2:53pm
v27
· a year ago
2023-11-20 5:09pm
v26
· a year ago
2023-11-16 5:39pm
v25
· a year ago
2023-11-15 3:28pm
v24
· a year ago
2023-11-14 1:05am
v23
· a year ago
2023-11-09 1:42pm
v22
· a year ago
2023-11-08 5:57pm
v21
· a year ago
2023-11-08 11:42am
v20
· a year ago
2023-11-07 6:32pm
v19
· a year ago
2023-11-07 2:53pm
v18
· a year ago
2023-11-07 1:06pm
v17
· a year ago
2023-11-07 11:57am
v16
· a year ago
2023-11-06 1:59pm
v15
· a year ago
2023-11-04 2:25pm
v14
· a year ago
2023-11-04 12:26pm
v13
· a year ago
2023-11-03 6:09pm
v12
· a year ago
2023-11-03 11:33am
v11
· a year ago
2023-11-02 5:15pm
v10
· a year ago
2023-11-02 4:24pm
v9
· a year ago
2023-11-02 2:43pm
v8
· a year ago
2023-11-01 6:35pm
v7
· a year ago
2023-11-01 5:54pm
v6
· a year ago
2023-11-01 12:57pm
v5
· a year ago
2023-10-31 3:11pm
v4
· a year ago
2023-10-31 1:19pm
v3
· a year ago
2023-10-30 3:47pm
v2
· a year ago
2023-10-28 4:51pm
v1
· a year ago
v31
2023-12-13 2:37pm
Generated on Dec 13, 2023
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.
7355 Total Images
View All Images
Dataset Split
Train Set 88%
6444Images
Valid Set 8%
608Images
Test Set 4%
303Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -20° and +20°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Noise: Up to 5% of pixels