Dataset Versions
Versions
2023-12-18 4:53pm
v21
· a year ago
2023-12-18 3:48pm
v20
· a year ago
2023-12-18 3:47pm
v19
· a year ago
2023-12-18 3:45pm
v18
· a year ago
2023-12-18 3:44pm
v17
· a year ago
2023-12-17 2:28pm
v16
· a year ago
2023-12-17 1:01pm
v15
· a year ago
2023-12-17 12:52pm
v14
· a year ago
2023-12-16 9:09pm
v13
· a year ago
2023-12-16 1:03pm
v12
· a year ago
2023-12-14 6:09pm
v11
· a year ago
2023-12-13 2:36pm
v10
· a year ago
2023-12-07 2:58pm
v9
· a year ago
2023-11-25 11:56am
v8
· a year ago
2023-11-25 11:55am
v7
· a year ago
2023-11-24 8:22pm
v6
· a year ago
2023-11-24 9:32am
v5
· a year ago
2023-11-23 8:24pm
v4
· a year ago
2023-11-23 7:27pm
v3
· a year ago
2023-11-23 10:53am
v2
· a year ago
2023-11-22 11:11pm
v1
· a year ago
v10
2023-12-13 2:36pm
Generated on Dec 13, 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.
4440 Total Images
View All Images
Dataset Split
Train Set 81%
3612Images
Valid Set 12%
516Images
Test Set 7%
312Images
Preprocessing
Auto-Orient: Applied
Isolate Objects: Applied
Dynamic Crop: Class: Melanoma
Resize: Fit within 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -25° and +25°
Brightness: Between -25% and +25%
Blur: Up to 2.5px
Mosaic: Applied
Bounding Box: Crop: 0% Minimum Zoom, 20% Maximum Zoom
Bounding Box: Exposure: Between -25% and +25%