Dataset Versions
Versions
2023-12-31 10:15am
v24
· a year ago
2023-12-27 9:48pm
v23
· a year ago
2023-12-27 9:09pm
v22
· a year ago
2023-12-27 8:35pm
v21
· a year ago
2023-12-27 8:27pm
v20
· a year ago
2023-12-26 10:52pm
v19
· a year ago
2023-12-26 10:30pm
v18
· a year ago
2023-12-26 9:37pm
v17
· a year ago
2023-12-26 5:47pm
v16
· a year ago
2023-12-26 5:24pm
v15
· a year ago
2023-12-26 5:08pm
v14
· a year ago
2023-12-26 4:45pm
v13
· a year ago
2023-12-26 4:11pm
v12
· a year ago
2023-12-26 3:26pm
v11
· a year ago
2023-12-26 3:10pm
v9
· a year ago
2023-12-26 2:59pm
v8
· a year ago
2023-12-26 2:43pm
v7
· a year ago
2023-12-26 2:21pm
v6
· a year ago
2023-12-26 1:53pm
v5
· a year ago
2023-12-26 1:26pm
v4
· a year ago
2023-12-19 3:57pm
v3
· a year ago
2023-12-19 3:48pm
v2
· a year ago
2023-12-19 3:31pm
v1
· a year ago
v1
2023-12-19 3:31pm
Generated on Dec 19, 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.
676 Total Images
View All Images
Dataset Split
Train Set 86%
584Images
Valid Set 11%
76Images
Test Set 2%
16Images
Preprocessing
Auto-Orient: Applied
Isolate Objects: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Dynamic Crop: Class: error1
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 2
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 5% of pixels
Mosaic: Applied
Bounding Box: Crop: 0% Minimum Zoom, 20% Maximum Zoom