Dataset Versions
Versions
2024-06-14 7:52am
v36
· 5 months ago
2024-05-27 4:11pm
v35
· 6 months ago
2024-05-17 6:04pm
v34
· 6 months ago
2024-05-17 5:26pm
v33
· 6 months ago
2024-05-17 4:23pm
v32
· 6 months ago
2024-05-17 3:48pm
v31
· 6 months ago
2024-05-13 4:55pm
v30
· 6 months ago
2024-04-19 5:46pm
v28
· 7 months ago
2024-04-19 5:29pm
v27
· 7 months ago
2024-04-08 2:22pm
v26
· 8 months ago
2024-03-25 2:08pm
v25
· 8 months ago
2024-03-25 9:47am
v24
· 8 months ago
2024-03-22 2:28pm
v23
· 8 months ago
2024-03-22 10:26am
v22
· 8 months ago
2024-03-22 9:53am
v21
· 8 months ago
2024-03-18 5:24pm
v20
· 8 months ago
2024-03-18 4:27pm
v19
· 8 months ago
2024-03-15 4:24pm
v18
· 8 months ago
2024-03-11 5:30pm
v17
· 8 months ago
2024-03-04 1:32pm
v16
· 9 months ago
2024-03-01 5:26pm
v15
· 9 months ago
2024-03-01 2:41pm
v14
· 9 months ago
2024-03-01 2:32pm
v13
· 9 months ago
2024-03-01 2:04pm
v12
· 9 months ago
2024-02-26 5:33pm
v11
· 9 months ago
2024-02-26 2:50pm
v10
· 9 months ago
2024-02-26 2:49pm
v9
· 9 months ago
2024-02-26 10:15am
v8
· 9 months ago
2024-02-23 2:14pm
v7
· 9 months ago
2024-02-23 1:59pm
v6
· 9 months ago
2024-02-23 10:43am
v5
· 9 months ago
2024-02-23 9:58am
v4
· 9 months ago
2024-02-16 4:11pm
v2
· 9 months ago
2024-02-16 2:10pm
v1
· 9 months ago
v4
2024-02-23 9:58am
Generated on Feb 23, 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.
800 Total Images
View All Images
Dataset Split
Train Set 89%
711Images
Valid Set 8%
65Images
Test Set 3%
24Images
Preprocessing
Auto-Orient: Applied
Isolate Objects: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -45° and +45°
Shear: ±10° Horizontal, ±10° Vertical
Cutout: 3 boxes with 10% size each
Bounding Box: Noise: Up to 0.26% of pixels