Dataset Versions
Versions
2024-07-09 12:29pm
v51
· 5 months ago
2024-07-07 2:38pm
v48
· 6 months ago
2024-07-02 6:21am
v47
· 6 months ago
2024-04-19 10:42pm
v41
· 8 months ago
2024-04-18 9:26pm
v37
· 8 months ago
2024-03-04 10:24pm
v34
· 10 months ago
2024-02-29 9:08am
v33
· 10 months ago
2024-02-28 8:46pm
v31
· 10 months ago
2024-02-21 9:27pm
v28
· 10 months ago
2024-02-20 11:10pm
v27
· 10 months ago
2024-02-20 8:35pm
v26
· 10 months ago
2024-02-19 9:09pm
v25
· 10 months ago
2024-02-15 11:13pm
v24
· 10 months ago
2024-01-31 9:19pm
v22
· a year ago
2024-01-31 8:43am
v20
· a year ago
2024-01-30 9:27pm
v17
· a year ago
2024-01-30 8:56am
v16
· a year ago
2024-01-30 8:56am
v15
· a year ago
Fucked up by Tommy
v14
· a year ago
2024-01-29 10:51pm
v13
· a year ago
2024-01-29 9:51pm
v12
· a year ago
2024-01-28 11:28pm
v11
· a year ago
2024-01-28 10:12pm
v10
· a year ago
2024-01-28 2:18pm
v9
· a year ago
2024-01-28 9:38am
v8
· a year ago
2024-01-28 8:55am
v7
· a year ago
2024-01-28 12:11am
v5
· a year ago
2024-01-28 12:01am
v4
· a year ago
2024-01-27 11:39pm
v3
· a year ago
2024-01-27 11:30pm
v2
· a year ago
2024-01-27 11:05pm
v1
· a year ago
v34
2024-03-04 10:24pm
Generated on Mar 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.
3872 Total Images
View All Images
Dataset Split
Train Set 87%
3354Images
Valid Set 8%
308Images
Test Set 5%
210Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 10% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -19% and +19%
Brightness: Between -10% and +10%
Exposure: Between -5% and +5%
Blur: Up to 0.7px
Noise: Up to 0.5% of pixels
Bounding Box: Rotation: Between -10° and +10°
Bounding Box: Shear: ±5° Horizontal, ±5° Vertical
Bounding Box: Blur: Up to 1px
Bounding Box: Noise: Up to 0.22% of pixels