Dataset Versions
Versions
2024-06-21 1:58am
v34
· 5 months ago
2024-03-05 8:58am
v33
· 8 months ago
2024-03-05 8:52am
v32
· 8 months ago
2024-03-04 11:33am
v31
· 8 months ago
2024-03-04 9:33am
v30
· 8 months ago
2024-03-01 4:16pm
v29
· 8 months ago
2024-03-01 10:40am
v28
· 8 months ago
2024-03-01 9:15am
v27
· 8 months ago
2024-02-29 9:39am
v26
· 8 months ago
2024-02-29 9:35am
v25
· 8 months ago
2024-02-28 9:18am
v24
· 8 months ago
2024-02-27 2:00pm
v23
· 8 months ago
2024-02-26 11:56am
v22
· 8 months ago
2024-02-26 11:55am
v21
· 8 months ago
2024-02-21 7:36pm
v20
· 8 months ago
2024-02-21 1:19pm
v19
· 8 months ago
2024-02-21 9:51am
v18
· 9 months ago
2024-02-21 9:13am
v17
· 9 months ago
2024-02-21 9:12am
v16
· 9 months ago
2024-02-21 8:24am
v15
· 9 months ago
2024-02-20 4:46pm
v14
· 9 months ago
2024-02-20 4:45pm
v13
· 9 months ago
2024-02-20 4:44pm
v12
· 9 months ago
2024-02-20 2:08pm
v11
· 9 months ago
2024-02-18 2:16am
v10
· 9 months ago
2024-02-16 5:18pm
v9
· 9 months ago
2024-02-15 3:14pm
v8
· 9 months ago
2024-02-15 9:29am
v7
· 9 months ago
2024-02-13 2:46pm
v6
· 9 months ago
2024-02-12 9:51am
v5
· 9 months ago
2024-01-26 10:38am
v4
· 9 months ago
2024-01-23 9:47am
v3
· 9 months ago
2024-01-22 2:05pm
v2
· 9 months ago
2024-01-22 11:04am
v1
· 9 months ago
v21
2024-02-26 11:55am
Generated on Feb 26, 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.
1292 Total Images
View All Images
Dataset Split
Train Set 86%
1107Images
Valid Set 10%
129Images
Test Set 4%
56Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 224x224
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 11% Maximum Zoom
Rotation: Between -45° and +45°
Shear: ±15° Horizontal, ±11° Vertical
Brightness: Between -14% and +14%
Blur: Up to 1.6px