guyabano Dataset
Versions
2023-12-20 4:06am
v38
· 9 months ago
2023-12-19 11:42am
v37
· 9 months ago
2023-12-18 11:45am
v36
· 9 months ago
2023-12-18 9:30am
v35
· 9 months ago
2023-12-17 10:35pm
v34
· 9 months ago
2023-12-17 10:30pm
v33
· 9 months ago
2023-12-17 9:57pm
v32
· 9 months ago
2023-12-17 9:42pm
v31
· 9 months ago
2023-12-17 2:35pm
v30
· 9 months ago
2023-12-17 2:21pm
v29
· 9 months ago
2023-12-17 1:31pm
v28
· 9 months ago
2023-12-17 1:17pm
v27
· 9 months ago
2023-12-17 12:05pm
v26
· 9 months ago
2023-12-17 11:51am
v25
· 9 months ago
2023-12-15 4:31pm
v24
· 9 months ago
2023-12-15 4:23pm
v23
· 9 months ago
2023-12-15 1:45pm
v22
· 9 months ago
2023-12-15 1:33pm
v21
· 9 months ago
2023-12-15 1:33pm
v20
· 9 months ago
2023-12-15 1:27pm
v19
· 9 months ago
2023-12-15 1:07pm
v18
· 9 months ago
2023-12-15 1:05pm
v17
· 9 months ago
2023-12-15 1:04pm
v16
· 9 months ago
2023-12-15 12:47pm
v15
· 9 months ago
2023-12-13 2:11pm
v14
· 10 months ago
2023-12-13 1:56pm
v13
· 10 months ago
2023-12-13 10:09am
v12
· 10 months ago
2023-12-13 3:48am
v11
· 10 months ago
2023-12-13 2:44am
v10
· 10 months ago
2023-12-13 1:44am
v9
· 10 months ago
2023-12-13 12:17am
v8
· 10 months ago
2023-12-13 12:15am
v7
· 10 months ago
2023-12-11 4:18pm
v6
· 10 months ago
2023-12-10 7:49pm
v5
· 10 months ago
2023-12-10 6:58pm
v4
· 10 months ago
2023-12-10 6:34pm
v3
· 10 months ago
2023-12-10 6:29pm
v2
· 10 months ago
the good version
v1
· 10 months ago
v6
2023-12-11 4:18pm
Generated on Dec 11, 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.
976 Total Images
View All Images
Dataset Split
Train Set 86%
840Images
Valid Set 10%
96Images
Test Set 4%
40Images
Preprocessing
Auto-Orient: Applied
Isolate Objects: Applied
Resize: Fit within 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Grayscale: Apply to 25% of images
Blur: Up to 2.5px
Noise: Up to 5% of pixels
Cutout: 10 boxes with 15% size each
Mosaic: Applied
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical
Bounding Box: Brightness: Between -25% and +25%
Bounding Box: Exposure: Between -25% and +25%
Bounding Box: Blur: Up to 2.5px
Bounding Box: Noise: Up to 5% of pixels