Macro segmentation Image Dataset
Versions
2024-03-12 11:49am
v10
Mar 12, 2024
2024-02-19 3:17pm
v9
Feb 19, 2024
2023-12-19 10:33am
v8
Dec 19, 2023
2023-12-08 2:18pm
v7
Dec 8, 2023
2023-11-28 12:38pm
v6
Nov 28, 2023
2023-11-27 8:27am
v5
Nov 27, 2023
2023-11-22 5:40pm
v4
Nov 22, 2023
2023-11-10 4:12pm
v3
Nov 10, 2023
2023-10-27 11:08am
v2
Oct 27, 2023
V1
v1
Oct 27, 2023
v1
V1
Generated on Oct 27, 2023
Popular Download Formats
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.
55 Total Images
View All Images
Dataset Split
Train Set 93%
51Images
Valid Set 7%
4Images
Test Set %
0Images
Preprocessing
Grayscale: Applied
Augmentations
Outputs per training example: 3
Brightness: Between -15% and +15%
Bounding Box: Crop: 0% Minimum Zoom, 20% Maximum Zoom
Bounding Box: Rotation: Between -3° and +3°
Bounding Box: Shear: ±5° Horizontal, ±11° Vertical
Bounding Box: Noise: Up to 5% of pixels
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