Dataset Versions
Versions
2024-03-15 4:13pm
v34
· 8 months ago
2024-03-15 12:54pm
v33
· 8 months ago
2024-03-14 7:46pm
v32
· 8 months ago
2024-03-14 5:43pm
v31
· 8 months ago
2024-03-14 3:00pm
v30
· 8 months ago
2024-03-14 12:40pm
v29
· 8 months ago
2024-03-13 6:00pm
v28
· 8 months ago
2024-03-13 5:47pm
v27
· 8 months ago
2024-03-13 4:13pm
v26
· 8 months ago
2024-03-13 2:04pm
v25
· 8 months ago
2024-03-13 1:59pm
v24
· 8 months ago
2024-03-12 6:35pm
v23
· 8 months ago
2024-03-12 2:03pm
v22
· 8 months ago
2024-03-12 2:00pm
v21
· 8 months ago
2024-03-11 1:29pm
v20
· 8 months ago
2024-03-10 3:18pm
v19
· 8 months ago
2024-03-10 1:33pm
v18
· 8 months ago
2024-03-10 1:06pm
v17
· 8 months ago
2024-03-08 6:51pm
v16
· 8 months ago
2024-03-08 4:21pm
v15
· 8 months ago
2024-03-08 2:57pm
v14
· 8 months ago
2024-03-07 10:50pm
v13
· 8 months ago
2024-03-07 10:43pm
v12
· 8 months ago
2024-03-07 10:33pm
v11
· 8 months ago
2024-03-07 5:39pm
v10
· 8 months ago
2024-03-04 6:35pm
v9
· 9 months ago
2024-02-21 11:47am
v8
· 9 months ago
2024-02-20 3:18pm
v7
· 9 months ago
2024-02-20 3:15pm
v6
· 9 months ago
2024-02-12 5:36pm
v5
· 9 months ago
2024-02-12 12:14pm
v4
· 9 months ago
2024-02-12 12:11pm
v3
· 9 months ago
2024-02-09 5:13pm
v2
· 9 months ago
2024-02-09 1:10pm
v1
· 9 months ago
v26
2024-03-13 4:13pm
Generated on Mar 13, 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.
535 Total Images
View All Images
Dataset Split
Train Set 87%
468Images
Valid Set 9%
46Images
Test Set 4%
21Images
Preprocessing
Auto-Orient: Applied
Resize: Fit within 800x600
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -15° and +15°
Grayscale: Apply to 21% of images
Brightness: Between -15% and +15%
Blur: Up to 2.5px