Cacao Beans Image Dataset
Versions!
2023-07-24 7:40am
v23
· a year ago
2584
2023-07-22 5:11pm
v22
· a year ago
1292
Fast
COCOn
2023-07-09 4:54pm
v21
· a year ago
646
640x640
Fit (black edges) in
2023-03-31 11:02pm
v20
· a year ago
646
2023-03-31 8:08pm
v19
· a year ago
646
640x640
Fit (black edges) in
2023-03-31 7:23pm
v18
· a year ago
646
Fast
2023-03-14 7:14pm
v17
· a year ago
2580
Fast
cacao-beans-oul74/10
2023-03-06 1:20pm
v16
· a year ago
244
640x640
Fit (black edges) in
2023-03-06 1:18pm
v15
· a year ago
244
640x640
Fit (black edges) in
2023-03-06 1:14pm
v14
· a year ago
244
640x640
Fit (black edges) in
2023-03-06 10:32am
v13
· a year ago
100
640x640
Fit (black edges) in
2023-03-06 10:21am
v12
· a year ago
424
640x640
Fit (black edges) in
2023-03-06 9:52am
v11
· a year ago
76
2023-03-05 6:17pm
v10
· a year ago
76
Fast
COCOv6n
2023-03-05 6:16pm
v9
· a year ago
19
640x640
Fit within
2023-03-05 6:15pm
v8
· a year ago
19
640x640
Stretch to
2023-03-05 6:12pm
v7
· a year ago
45
640x640
Fill (with center crop) in
2023-03-05 6:10pm
v6
· a year ago
19
720x720
Fill (with center crop) in
2023-03-05 6:10pm
v5
· a year ago
19
640x640
Fill (with center crop) in
2023-03-05 6:08pm
v4
· a year ago
19
2023-03-05 6:06pm
v3
· a year ago
19
640x640
Fill (with center crop) in
2023-03-05 6:01pm
v2
· a year ago
76
640x640
Fill (with center crop) in
2023-03-05 5:59pm
v1
· a year ago
180
640x640
Fill (with center crop) in
v23
2023-07-24 7:40am
Generated on Jul 23, 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.
2584 Total Images
View All ImagesDataset Split
Train Set 92%
2380Images
Valid Set 5%
136Images
Test Set 3%
68Images
Preprocessing
Resize: Fit (black edges) in 640x640
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 5
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Saturation: Between -20% and +20%
Brightness: Between -20% and +20%
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