Dataset Versions
Versions
2023-09-12 12:06am
v35
· a year ago
2023-09-12 12:05am
v34
· a year ago
2023-09-12 12:03am
v33
· a year ago
2023-09-12 12:02am
v32
· a year ago
2023-09-12 12:02am
v31
· a year ago
2023-09-12 12:01am
v30
· a year ago
2023-09-12 12:01am
v29
· a year ago
2023-09-09 11:55pm
v28
· a year ago
2023-09-09 11:54pm
v27
· a year ago
2023-09-09 11:53pm
v26
· a year ago
2023-09-09 11:52pm
v25
· a year ago
2023-09-09 11:51pm
v24
· a year ago
2023-09-09 11:51pm
v23
· a year ago
2023-09-04 9:28pm
v22
· a year ago
2023-09-04 9:28pm
v21
· a year ago
2023-09-04 9:27pm
v20
· a year ago
2023-08-29 1:44pm
v19
· a year ago
2023-08-29 1:42pm
v18
· a year ago
2023-08-29 1:40pm
v17
· a year ago
2023-08-29 1:39pm
v16
· a year ago
2023-08-12 1:55pm
v15
· a year ago
2023-08-12 1:44pm
v14
· a year ago
2023-08-12 1:26pm
v13
· a year ago
2023-08-12 1:26pm
v12
· a year ago
2023-08-12 1:25pm
v11
· a year ago
2023-08-11 11:48pm
v10
· a year ago
2023-08-11 11:27pm
v9
· a year ago
2023-08-11 11:26pm
v8
· a year ago
2023-08-11 11:24pm
v7
· a year ago
2023-08-11 11:23pm
v6
· a year ago
2023-08-06 5:07pm
v5
· a year ago
2023-08-01 12:15am
v4
· a year ago
2023-08-01 12:13am
v3
· a year ago
2023-08-01 12:08am
v2
· a year ago
2023-07-29 8:32pm
v1
· a year ago
v4
2023-08-01 12:15am
Generated on Jul 31, 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.
579 Total Images
View All Images
Dataset Split
Train Set 100%
579Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Isolate Objects: Applied
Static Crop: 25-75% Horizontal Region, 4-75% Vertical Region
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 2% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Blur: Up to 2.5px
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Bounding Box: Crop: 0% Minimum Zoom, 20% Maximum Zoom
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical
Bounding Box: Blur: Up to 7.5px