Dataset Versions
Versions
2023-01-15 7:10pm
v33
· 2 years ago
2023-01-15 12:37am
v32
· 2 years ago
2023-01-13 2:55pm
v31
· 2 years ago
2023-01-13 2:53pm
v30
· 2 years ago
2023-01-11 9:35pm
v29
· 2 years ago
2023-01-11 2:42pm
v27
· 2 years ago
2023-01-10 6:10pm
v26
· 2 years ago
2023-01-09 1:23pm
v25
· 2 years ago
2023-01-08 1:04pm
v24
· 2 years ago
2023-01-07 9:31pm
v23
· 2 years ago
2023-01-07 10:12am
v22
· 2 years ago
2023-01-06 10:18pm
v21
· 2 years ago
2023-01-06 4:44pm
v20
· 2 years ago
2023-01-05 8:50pm
v19
· 2 years ago
2023-01-05 3:05pm
v18
· 2 years ago
2023-01-05 9:54am
v17
· 2 years ago
2023-01-05 9:22am
v16
· 2 years ago
2023-01-04 6:40pm
v15
· 2 years ago
2023-01-04 5:19pm
v14
· 2 years ago
2023-01-04 4:39pm
v13
· 2 years ago
2023-01-04 2:30pm
v12
· 2 years ago
2023-01-03 10:46pm
v11
· 2 years ago
2023-01-03 2:29pm
v10
· 2 years ago
2023-01-02 8:48pm
v9
· 2 years ago
2023-01-02 1:58pm
v8
· 2 years ago
2023-01-02 9:12am
v7
· 2 years ago
2023-01-01 6:03pm
v6
· 2 years ago
2022-12-31 9:09pm
v5
· 2 years ago
2022-12-31 2:49pm
v4
· 2 years ago
2022-12-30 10:41pm
v3
· 2 years ago
2022-12-30 5:55pm
v2
· 2 years ago
2022-12-29 6:46pm
v1
· 2 years ago
v26
2023-01-10 6:10pm
Generated on Jan 10, 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.
759 Total Images
View All Images
Dataset Split
Train Set 90%
684Images
Valid Set 4%
34Images
Test Set 5%
41Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 800x600
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Grayscale: Apply to 25% of images
Brightness: Between -25% and +25%
Blur: Up to 10px
Noise: Up to 5% of pixels