Dataset Versions
Versions
2023-07-13 2:46pm
v44
· a year ago
2023-07-13 2:45pm
v43
· a year ago
2023-07-08 1:39pm
v42
· a year ago
uannotated
v41
· a year ago
2023-07-05 8:46pm
v40
· a year ago
2023-07-05 8:42pm
v39
· a year ago
2023-07-05 8:37pm
v38
· a year ago
2023-07-05 8:32pm
v37
· a year ago
2023-07-05 8:28pm
v36
· a year ago
2023-07-05 8:20pm
v35
· a year ago
2023-07-05 8:18pm
v34
· a year ago
2023-07-05 8:03pm
v33
· a year ago
2023-07-05 7:59pm
v32
· a year ago
2023-07-05 7:11pm
v31
· a year ago
2023-07-05 6:41pm
v30
· a year ago
2023-07-05 6:18pm
v28
· a year ago
2023-07-05 5:51pm
v25
· a year ago
2023-07-05 5:40pm
v24
· a year ago
2023-07-05 3:02pm
v23
· a year ago
2023-07-05 2:58pm
v22
· a year ago
2023-07-05 2:57pm
v21
· a year ago
2023-07-05 2:54pm
v20
· a year ago
2023-07-05 1:14pm
v19
· a year ago
2023-07-05 12:01pm
v18
· a year ago
2023-07-05 11:45am
v17
· a year ago
2023-07-05 11:44am
v16
· a year ago
2023-07-05 11:42am
v15
· a year ago
2023-07-05 11:41am
v14
· a year ago
2023-07-05 11:39am
v13
· a year ago
2023-07-05 11:36am
v12
· a year ago
2023-07-05 11:29am
v11
· a year ago
2023-07-05 11:15am
v10
· a year ago
2023-07-04 8:28pm
v9
· a year ago
2023-07-04 7:59pm
v8
· a year ago
2023-07-04 7:53pm
v7
· a year ago
2023-07-04 7:52pm
v6
· a year ago
2023-07-04 7:52pm
v5
· a year ago
2023-07-04 7:52pm
v4
· a year ago
2023-07-04 7:52pm
v3
· a year ago
2023-07-04 7:50pm
v2
· a year ago
2023-07-04 7:43pm
v1
· a year ago
v21
2023-07-05 2:57pm
Generated on Jul 5, 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.
178 Total Images
View All Images
Dataset Split
Train Set 91%
162Images
Valid Set 9%
16Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Fit within 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 63% Maximum Zoom
Rotation: Between -15° and +15°
Grayscale: Apply to 25% of images
Brightness: Between 0% and +40%
Exposure: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 5% of pixels
Cutout: 10 boxes with 6% size each
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: Rotation: Between -15° and +15°